# Label new item column
dataset2 = dataset2.with_columns([pl.lit("New Item").alias('Item Type')])

# Merge dataset2 and dataset3 and label which materialID as low volume or new item
merged_dataset = dataset3.join(dataset2.select(['MaterialID', 'SalesOrg', 'DistrChan', 'CL4', 'Item Type']), on=['MaterialID', 'SalesOrg', 'DistrChan', 'CL4'], how='left')
merged_dataset = merged_dataset.with_columns([pl.when(pl.col('Item Type').is_null()).then(pl.lit('Low Volume')).otherwise(pl.col('Item Type')).alias('Item Type')])

# Merge merged_dataset with dataset1
dataset = dataset1.join(merged_dataset.select(['MaterialID', 'SalesOrg', 'DistrChan', 'CL4', 'Item Type']), on=['MaterialID', 'SalesOrg', 'DistrChan', 'CL4'], how='left')
dataset = dataset.with_columns([pl.when(pl.col('Item Type').is_null()).then(pl.lit('Others')).otherwise(pl.col('Item Type')).alias('Item Type')])
 dataset.head() MaterialID	SalesOrg	DistrChan	SoldTo	DC	WeekDate	OrderQuantity	DeliveryQuantity	ParentProductCode	PL2	PL3	PL4	PL5	CL4	Item Type
i64	str	i64	i64	str	str	f64	f64	i64	str	str	str	str	str	str
12421256	"US01"	8	5932810	"5583"	"2022-03-28"	1.0	1.0	12421256	"US6"	"US66F"	"US66F6F30"	"US66F6F306F30F…	"6067437"	"Others"
12421256	"US01"	8	5946860	"5583"	"2022-03-14"	3.0	3.0	12421256	"US6"	"US66F"	"US66F6F30"	"US66F6F306F30F…	"6067437"	"Others"
12421256	"US01"	8	5952162	"5583"	"2022-03-14"	1.0	1.0	12421256	"US6"	"US66F"	"US66F6F30"	"US66F6F306F30F…	"6067437"	"Others"
12421161	"US01"	8	5958951	"5583"	"2022-03-07"	1.0	1.0	12421161	"US6"	"US66J"	"US66J6J54"	"US66J6J546J54L…	"6067465"	"Others"
12531761	"US06"	10	6088109	"5843"	"2022-03-07"	60.0	60.0	12242722	"USI"	"USII6"	"USII6I689"	"USII6I689I689E…	"6635338"	"Others" # Filter for 'Low Volume' items
dataset_newitem = dataset.filter(pl.col('Item Type') == 'New Item') # Convert 'WeekDate' to datetime format
dataset_newitem = dataset_newitem.with_columns(
    pl.col("WeekDate").str.strptime(pl.Datetime, "%Y-%m-%d")
)

# Group by ‘MaterialID’, ‘SalesOrg’, ‘DistrChan’, 'CL4' and 'WeekDate', then sum 'OrderQuantity'
y_cl4 = dataset_newitem.groupby(['MaterialID', 'SalesOrg', 'DistrChan', 'CL4', 'WeekDate']).agg(
    pl.sum("OrderQuantity").alias("OrderQuantity")
)

# Sort by 'WeekDate'
y_cl4 = y_cl4.sort("WeekDate") # Concatenate ‘MaterialID’, ‘SalesOrg’, ‘DistrChan’, ‘CL4’ to a new column ‘unique_id’
y_cl4 = y_cl4.with_columns(
    pl.concat_str([pl.col('MaterialID'), pl.col('SalesOrg'), pl.col('DistrChan'), pl.col('CL4')], separator='_').alias('unique_id')
)

# Drop the original columns 
y_cl4 = y_cl4.drop(['MaterialID', 'SalesOrg', 'DistrChan', 'CL4'])

y_cl4 = y_cl4.rename({'WeekDate': 'ds', 'OrderQuantity': 'y'}) # Group by ‘unique_id’ and calculate the length of each group
lengths = y_cl4.groupby('unique_id').agg(pl.count().alias('length'))

# Count the occurrences of each length
counts = lengths.groupby('length').agg(pl.count().alias('count'))
counts = counts.sort('length')
 
pl.Config.set_tbl_rows(200)  


print(counts)  length ┆ count │
│ ---    ┆ ---   │
│ u32    ┆ u32   │
╞════════╪═══════╡
│ 1      ┆ 1942  │
│ 2      ┆ 357   │
│ 3      ┆ 157   │
│ 4      ┆ 107   │
│ 5      ┆ 74    │
│ 6      ┆ 40    │
│ 7      ┆ 48    │
│ 8      ┆ 37    │
│ 9      ┆ 39    │
│ 10     ┆ 47    │
│ 11     ┆ 54    │
│ 12     ┆ 36    │
│ 13     ┆ 35    │
│ 14     ┆ 43    │
│ 15     ┆ 47    │
│ 16     ┆ 45    │
│ 17     ┆ 36    │
│ 18     ┆ 37    │
│ 19     ┆ 51    │
│ 20     ┆ 35    │
│ 21     ┆ 41    │
│ 22     ┆ 29    │
│ 23     ┆ 26    │
│ 24     ┆ 33    │
│ 25     ┆ 35    │
│ 26     ┆ 41    │
│ 27     ┆ 39    │
│ 28     ┆ 34    │
│ 29     ┆ 37    │
│ 30     ┆ 31    │
│ 31     ┆ 32    │
│ 32     ┆ 26    │
│ 33     ┆ 30    │
│ 34     ┆ 22    │
│ 35     ┆ 39    │
│ 36     ┆ 32    │
│ 37     ┆ 32    │
│ 38     ┆ 33    │
│ 39     ┆ 37    │
│ 40     ┆ 34    │
│ 41     ┆ 24    │
│ 42     ┆ 22    │
│ 43     ┆ 17    │
│ 44     ┆ 18    │
│ 45     ┆ 13    │
│ 46     ┆ 10    │
│ 47     ┆ 18    │
│ 48     ┆ 15    │
│ 49     ┆ 17    │
│ 50     ┆ 12    │
│ 51     ┆ 15    │
│ 52     ┆ 10    │
│ 53     ┆ 11    │
│ 54     ┆ 6     │
│ 55     ┆ 9     │
│ 56     ┆ 7     │
│ 57     ┆ 11    │
│ 58     ┆ 11    │
│ 59     ┆ 9     │
│ 60     ┆ 13    │
│ 61     ┆ 14    │
│ 62     ┆ 7     │
│ 63     ┆ 5     │
│ 64     ┆ 3     │
│ 65     ┆ 6     │
│ 66     ┆ 6     │
│ 67     ┆ 5     │
│ 68     ┆ 11    │
│ 69     ┆ 7     │
│ 70     ┆ 4     │
│ 71     ┆ 2     │
│ 72     ┆ 4     │
│ 73     ┆ 3     │
│ 74     ┆ 1     │ # Filter the lengths DataFrame for lengths greater than 17
lengths_filtered = lengths.filter(pl.col('length') > 25)

# y_soldto filtered with only values greater than 17 in length
y_cl4_filtered = y_cl4.join(
    lengths_filtered.select(pl.col('unique_id')), 
    on='unique_id', 
    how='semi'  
)

# Sort by 'WeekDate'
y_cl4_filtered = y_cl4_filtered.sort("ds")

print(y_cl4_filtered)


 # Group by ‘unique_id’ and calculate the length of each group
lengths = y_cl4_filtered.groupby('unique_id').agg(pl.count().alias('length'))

# Count the occurrences of each length
counts = lengths.groupby('length').agg(pl.count().alias('count'))
counts = counts.sort('length')

pl.Config.set_tbl_rows(200)  


print(counts) │ length ┆ count │
│ ---    ┆ ---   │
│ u32    ┆ u32   │
╞════════╪═══════╡
│ 26     ┆ 41    │
│ 27     ┆ 39    │
│ 28     ┆ 34    │
│ 29     ┆ 37    │
│ 30     ┆ 31    │
│ 31     ┆ 32    │
│ 32     ┆ 26    │
│ 33     ┆ 30    │
│ 34     ┆ 22    │
│ 35     ┆ 39    │
│ 36     ┆ 32    │
│ 37     ┆ 32    │
│ 38     ┆ 33    │
│ 39     ┆ 37    │
│ 40     ┆ 34    │
│ 41     ┆ 24    │
│ 42     ┆ 22    │
│ 43     ┆ 17    │
│ 44     ┆ 18    │
│ 45     ┆ 13    │
│ 46     ┆ 10    │
│ 47     ┆ 18    │
│ 48     ┆ 15    │
│ 49     ┆ 17    │
│ 50     ┆ 12    │
│ 51     ┆ 15    │
│ 52     ┆ 10    │
│ 53     ┆ 11    │
│ 54     ┆ 6     │
│ 55     ┆ 9     │
│ 56     ┆ 7     │
│ 57     ┆ 11    │
│ 58     ┆ 11    │
│ 59     ┆ 9     │
│ 60     ┆ 13    │
│ 61     ┆ 14    │
│ 62     ┆ 7     │
│ 63     ┆ 5     │
│ 64     ┆ 3     │
│ 65     ┆ 6     │
│ 66     ┆ 6     │
│ 67     ┆ 5     │
│ 68     ┆ 11    │
│ 69     ┆ 7     │
│ 70     ┆ 4     │
│ 71     ┆ 2     │
│ 72     ┆ 4     │
│ 73     ┆ 3     │
│ 74     ┆ 1     │
└────────┴─── from statsforecast import StatsForecast
from statsforecast.models import AutoARIMA, AutoETS, AutoCES, DynamicOptimizedTheta
from statsforecast.utils import ConformalIntervals
import numpy as np
import polars as pl

# Polars option to display all rows
pl.Config.set_tbl_rows(None)

# Initialize the models
models = [
    AutoARIMA(season_length=12),
    AutoETS(season_length=12),
    AutoCES(season_length=12),
    DynamicOptimizedTheta(season_length=12)
]

# Initialize the StatsForecast model
sf = StatsForecast(models=models, freq='1w', n_jobs=-1)

# Perform cross-validation with a step size of 1 to mimic an expanding window
crossvalidation_df = sf.cross_validation(df=y_cl4_filtered, h=4, step_size=1, n_windows=9, sort_df=True)

# Calculate the ensemble mean
ensemble = crossvalidation_df[['AutoARIMA', 'AutoETS', 'CES', 'DynamicOptimizedTheta']].mean(axis=1)

# Create a Series for the ensemble mean
ensemble_series = pl.Series('Ensemble', ensemble)

# Add the ensemble mean as a new column to the DataFrame
crossvalidation_df = crossvalidation_df.with_columns(ensemble_series)

def wmape(y_true, y_pred):
    return np.abs(y_true - y_pred).sum() / np.abs(y_true).sum()

# Calculate the WMAPE for the ensemble model
wmape_value = wmape(crossvalidation_df['y'], crossvalidation_df['Ensemble'])
print('Average WMAPE for Ensemble: ', round(wmape_value, 4))

# Calculate the errors for the ensemble model
errors = crossvalidation_df['y'] - crossvalidation_df['Ensemble']

# For an individual forecast
individual_accuracy = 1 - (abs(crossvalidation_df['y'] - crossvalidation_df['Ensemble']) / crossvalidation_df['y'])
individual_bias = (crossvalidation_df['Ensemble'] / crossvalidation_df['y']) - 1

# Add these calculations as new columns to DataFrame
crossvalidation_df = crossvalidation_df.with_columns([
    individual_accuracy.alias("individual_accuracy"),
    individual_bias.alias("individual_bias")
])

# Print the individual accuracy and bias for each week
for row in crossvalidation_df.to_dicts():
    id = row['unique_id']
    date = row['ds'] 
    accuracy = row['individual_accuracy']
    bias = row['individual_bias']
    print(f"{id}, {date}, Individual Accuracy: {accuracy:.4f}, Individual Bias: {bias:.4f}")

# For groups of forecasts
group_accuracy = 1 - (errors.abs().sum() / crossvalidation_df['y'].sum())
group_bias = (crossvalidation_df['Ensemble'].sum() / crossvalidation_df['y'].sum()) - 1

# Print the average group accuracy and group bias over all folds for the ensemble model
print('Average Group Accuracy: ', round(group_accuracy, 4))
print('Average Group Bias: ', round(group_bias, 4))


# Fit the models on the entire dataset
sf.fit(y_cl4_fit_1)

# Instantiate the ConformalIntervals class
prediction_intervals = ConformalIntervals()

# Generate 24 months forecasts
forecasts_df = sf.forecast(h=52*2, prediction_intervals=prediction_intervals, level=[95], id_col='unique_id', sort_df=True)

# Apply the non-negative constraint to the forecasts of individual models
forecasts_df = forecasts_df.with_columns([
    pl.when(pl.col('AutoARIMA') < 0).then(0).otherwise(pl.col('AutoARIMA')).alias('AutoARIMA'),
    pl.when(pl.col('AutoETS') < 0).then(0).otherwise(pl.col('AutoETS')).alias('AutoETS'),
    pl.when(pl.col('CES') < 0).then(0).otherwise(pl.col('CES')).alias('CES'),
    pl.when(pl.col('DynamicOptimizedTheta') < 0).then(0).otherwise(pl.col('DynamicOptimizedTheta')).alias('DynamicOptimizedTheta'),
])

# Calculate the ensemble forecast
ensemble_forecast = forecasts_df[['AutoARIMA', 'AutoETS', 'CES', 'DynamicOptimizedTheta']].mean(axis=1)

# Calculate the lower and upper prediction intervals for the ensemble forecast
ensemble_lo_95 = forecasts_df.select(
    [
        pl.when(pl.col('AutoARIMA-lo-95') < 0).then(0).otherwise(pl.col('AutoARIMA-lo-95')).alias('AutoARIMA-lo-95'),
        pl.when(pl.col('AutoETS-lo-95') < 0).then(0).otherwise(pl.col('AutoETS-lo-95')).alias('AutoETS-lo-95'),
        pl.when(pl.col('CES-lo-95') < 0).then(0).otherwise(pl.col('CES-lo-95')).alias('CES-lo-95'),
        pl.when(pl.col('DynamicOptimizedTheta-lo-95') < 0).then(0).otherwise(pl.col('DynamicOptimizedTheta-lo-95')).alias('DynamicOptimizedTheta-lo-95'),
   ]
).mean(axis=1)
ensemble_hi_95 = forecasts_df[['AutoARIMA-hi-95', 'AutoETS-hi-95', 'CES-hi-95', 'DynamicOptimizedTheta-hi-95']].mean(axis=1)

# Create Series for the ensemble forecast and its prediction intervals
ensemble_forecast_series = pl.Series('EnsembleForecast', ensemble_forecast)
ensemble_lo_95_series = pl.Series('Ensemble-lo-95', ensemble_lo_95)
ensemble_hi_95_series = pl.Series('Ensemble-hi-95', ensemble_hi_95)

# Add the ensemble forecast and its prediction intervals as new columns to the DataFrame
forecasts_df = forecasts_df.with_columns([ensemble_forecast_series, ensemble_lo_95_series, ensemble_hi_95_series])

# Round the ensemble forecast and prediction intervals and convert to integer
forecasts_df = forecasts_df.with_columns([
    pl.col("EnsembleForecast").round().cast(pl.Int32),
    pl.col("Ensemble-lo-95").round().cast(pl.Int32),
    pl.col("Ensemble-hi-95").round().cast(pl.Int32)
])

# Reorder the columns
forecasts_df = forecasts_df.select([
    "unique_id", 
    "ds", 
    "EnsembleForecast", 
    "Ensemble-lo-95", 
    "Ensemble-hi-95",
    "AutoARIMA", 
    "AutoARIMA-lo-95", 
    "AutoARIMA-hi-95", 
    "AutoETS", 
    "AutoETS-lo-95", 
    "AutoETS-hi-95", 
    "CES", 
    "CES-lo-95", 
    "CES-hi-95",
    "DynamicOptimizedTheta", 
    "DynamicOptimizedTheta-lo-95", 
    "DynamicOptimizedTheta-hi-95"
]) 

# Create an empty list
forecasts_list = []

# Append each row to the list
for row in forecasts_df.to_dicts():
    forecasts_list.append(row)

# Print the list
for forecast in forecasts_list:
    print(forecast) <frozen importlib._bootstrap>:241: RuntimeWarning: scipy._lib.messagestream.MessageStream size changed, may indicate binary incompatibility. Expected 56 from C header, got 64 from PyObject
<frozen importlib._bootstrap>:241: RuntimeWarning: scipy._lib.messagestream.MessageStream size changed, may indicate binary incompatibility. Expected 56 from C header, got 64 from PyObject
<frozen importlib._bootstrap>:241: RuntimeWarning: scipy._lib.messagestream.MessageStream size changed, may indicate binary incompatibility. Expected 56 from C header, got 64 from PyObject
<frozen importlib._bootstrap>:241: RuntimeWarning: scipy._lib.messagestream.MessageStream size changed, may indicate binary incompatibility. Expected 56 from C header, got 64 from PyObject
<frozen importlib._bootstrap>:241: RuntimeWarning: scipy._lib.messagestream.MessageStream size changed, may indicate binary incompatibility. Expected 56 from C header, got 64 from PyObject
<frozen importlib._bootstrap>:241: RuntimeWarning: scipy._lib.messagestream.MessageStream size changed, may indicate binary incompatibility. Expected 56 from C header, got 64 from PyObject
<frozen importlib._bootstrap>:241: RuntimeWarning: scipy._lib.messagestream.MessageStream size changed, may indicate binary incompatibility. Expected 56 from C header, got 64 from PyObject
<frozen importlib._bootstrap>:241: RuntimeWarning: scipy._lib.messagestream.MessageStream size changed, may indicate binary incompatibility. Expected 56 from C header, got 64 from PyObject
Cross Validation Time Series 1:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 1:  11%|█         | 1/9 [00:36<04:54, 36.86s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 1:  11%|█         | 1/9 [00:37<04:57, 37.14s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 1:  44%|████▍     | 4/9 [00:37<00:27,  5.53s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 1: 100%|██████████| 9/9 [00:38<00:00,  4.27s/it]
Cross Validation Time Series 1: 100%|██████████| 9/9 [00:38<00:00,  4.32s/it]
Cross Validation Time Series 1:  89%|████████▉ | 8/9 [00:38<00:01,  1.24s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 1: 100%|██████████| 9/9 [00:39<00:00,  4.34s/it]
Cross Validation Time Series 1:  78%|███████▊  | 7/9 [00:39<00:03,  1.64s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 1: 100%|██████████| 9/9 [00:39<00:00,  4.36s/it]
Cross Validation Time Series 1:  22%|██▏       | 2/9 [00:39<01:55, 16.46s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 1:  67%|██████▋   | 6/9 [00:39<00:07,  2.53s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 1: 100%|██████████| 9/9 [00:39<00:00,  4.40s/it]
Cross Validation Time Series 2:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 2:  44%|████▍     | 4/9 [00:00<00:01,  4.78it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 2: 100%|██████████| 9/9 [00:02<00:00,  4.02it/s]
Cross Validation Time Series 1: 100%|██████████| 9/9 [00:40<00:00,  4.52s/it]
Cross Validation Time Series 2: 100%|██████████| 9/9 [00:02<00:00,  4.18it/s]
Cross Validation Time Series 2:  11%|█         | 1/9 [00:00<00:02,  2.92it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 3:  11%|█         | 1/9 [00:00<00:03,  2.26it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 2: 100%|██████████| 9/9 [00:02<00:00,  3.69it/s]
Cross Validation Time Series 1: 100%|██████████| 9/9 [00:41<00:00,  4.61s/it]
Cross Validation Time Series 2:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 2:  56%|█████▌    | 5/9 [00:00<00:00,  5.73it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 2: 100%|██████████| 9/9 [00:02<00:00,  3.73it/s]
Cross Validation Time Series 2: 100%|██████████| 9/9 [00:01<00:00,  5.20it/s]
Cross Validation Time Series 3:  78%|███████▊  | 7/9 [00:01<00:00,  3.33it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 3:  89%|████████▉ | 8/9 [00:02<00:00,  3.55it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 2: 100%|██████████| 9/9 [00:03<00:00,  2.56it/s]
Cross Validation Time Series 3: 100%|██████████| 9/9 [00:02<00:00,  3.60it/s]
Cross Validation Time Series 3:  44%|████▍     | 4/9 [00:01<00:01,  3.85it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 2:  22%|██▏       | 2/9 [00:02<00:07,  1.14s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 3:  67%|██████▋   | 6/9 [00:01<00:00,  4.08it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 3: 100%|██████████| 9/9 [00:02<00:00,  3.34it/s]
Cross Validation Time Series 3: 100%|██████████| 9/9 [00:02<00:00,  4.16it/s]
Cross Validation Time Series 4:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 4:  22%|██▏       | 2/9 [00:00<00:00,  8.33it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 4: 100%|██████████| 9/9 [00:01<00:00,  5.71it/s]
Cross Validation Time Series 2:  33%|███▎      | 3/9 [00:03<00:06,  1.13s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 5:  11%|█         | 1/9 [00:00<00:02,  3.45it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 1: 100%|██████████| 9/9 [00:48<00:00,  5.39s/it]
Cross Validation Time Series 4: 100%|██████████| 9/9 [00:04<00:00,  2.08it/s]
Cross Validation Time Series 3: 100%|██████████| 9/9 [00:05<00:00,  1.61it/s]
Cross Validation Time Series 4: 100%|██████████| 9/9 [00:04<00:00,  1.97it/s]
Cross Validation Time Series 2:  22%|██▏       | 2/9 [00:01<00:03,  1.76it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 5:  89%|████████▉ | 8/9 [00:05<00:00,  2.04it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 3:  67%|██████▋   | 6/9 [00:09<00:04,  1.58s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 5: 100%|██████████| 9/9 [00:05<00:00,  1.52it/s]
Cross Validation Time Series 5: 100%|██████████| 9/9 [00:02<00:00,  4.17it/s]
Cross Validation Time Series 3: 100%|██████████| 9/9 [00:10<00:00,  1.13s/it]
Cross Validation Time Series 2: 100%|██████████| 9/9 [00:03<00:00,  2.86it/s]
Cross Validation Time Series 6:  22%|██▏       | 2/9 [00:00<00:01,  5.38it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 3:  11%|█         | 1/9 [00:00<00:03,  2.58it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 4: 100%|██████████| 9/9 [00:03<00:00,  2.75it/s]
Cross Validation Time Series 3: 100%|██████████| 9/9 [00:12<00:00,  1.36s/it]
Cross Validation Time Series 6: 100%|██████████| 9/9 [00:02<00:00,  3.45it/s]
Cross Validation Time Series 6: 100%|██████████| 9/9 [00:02<00:00,  4.42it/s]
Cross Validation Time Series 5:  67%|██████▋   | 6/9 [00:05<00:02,  1.35it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 4: 100%|██████████| 9/9 [00:02<00:00,  3.64it/s]
Cross Validation Time Series 2: 100%|██████████| 9/9 [00:12<00:00,  1.42s/it]
Cross Validation Time Series 5:  78%|███████▊  | 7/9 [00:05<00:01,  1.45it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 7:  44%|████▍     | 4/9 [00:01<00:01,  2.89it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 5: 100%|██████████| 9/9 [00:06<00:00,  1.31it/s]
Cross Validation Time Series 4: 100%|██████████| 9/9 [00:02<00:00,  3.15it/s]
Cross Validation Time Series 7: 100%|██████████| 9/9 [00:03<00:00,  2.56it/s]
Cross Validation Time Series 7: 100%|██████████| 9/9 [00:03<00:00,  2.52it/s]
Cross Validation Time Series 5: 100%|██████████| 9/9 [00:05<00:00,  1.51it/s]
Cross Validation Time Series 3: 100%|██████████| 9/9 [00:03<00:00,  2.36it/s]
Cross Validation Time Series 3: 100%|██████████| 9/9 [00:07<00:00,  1.22it/s]
Cross Validation Time Series 8: 100%|██████████| 9/9 [00:02<00:00,  4.23it/s]
Cross Validation Time Series 9:  22%|██▏       | 2/9 [00:00<00:00, 11.65it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 4:  22%|██▏       | 2/9 [00:00<00:01,  3.98it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 8: 100%|██████████| 9/9 [00:02<00:00,  3.30it/s]
Cross Validation Time Series 5:  89%|████████▉ | 8/9 [00:05<00:00,  1.43it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 9:  78%|███████▊  | 7/9 [00:00<00:00,  7.31it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 5: 100%|██████████| 9/9 [00:06<00:00,  1.45it/s]
Cross Validation Time Series 9: 100%|██████████| 9/9 [00:01<00:00,  7.27it/s]
Cross Validation Time Series 6: 100%|██████████| 9/9 [00:04<00:00,  1.90it/s]
Cross Validation Time Series 4:  67%|██████▋   | 6/9 [00:01<00:00,  3.86it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 6: 100%|██████████| 9/9 [00:02<00:00,  3.38it/s]]
Cross Validation Time Series 7:  11%|█         | 1/9 [00:00<00:02,  3.09it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 7:  11%|█         | 1/9 [00:00<00:02,  3.08it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 9: 100%|██████████| 9/9 [00:01<00:00,  4.58it/s]]
Cross Validation Time Series 4: 100%|██████████| 9/9 [00:02<00:00,  3.41it/s]]
Cross Validation Time Series 5:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 6: 100%|██████████| 9/9 [00:01<00:00,  5.38it/s]]
Cross Validation Time Series 10:  33%|███▎      | 3/9 [00:00<00:00,  6.54it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 10:  44%|████▍     | 4/9 [00:00<00:00,  6.69it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 10: 100%|██████████| 9/9 [00:01<00:00,  6.56it/s]
Cross Validation Time Series 7:  33%|███▎      | 3/9 [00:01<00:02,  2.74it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 7: 100%|██████████| 9/9 [00:02<00:00,  3.55it/s]]
Cross Validation Time Series 5:  67%|██████▋   | 6/9 [00:01<00:00,  3.06it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 10: 100%|██████████| 9/9 [00:03<00:00,  2.87it/s]
Cross Validation Time Series 11:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 7: 100%|██████████| 9/9 [00:03<00:00,  2.57it/s]]
Cross Validation Time Series 5: 100%|██████████| 9/9 [00:08<00:00,  1.10it/s]]
Cross Validation Time Series 5: 100%|██████████| 9/9 [00:02<00:00,  3.15it/s]]
Cross Validation Time Series 11: 100%|██████████| 9/9 [00:01<00:00,  4.76it/s]
Cross Validation Time Series 6:  33%|███▎      | 3/9 [00:00<00:01,  4.57it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 6:  44%|████▍     | 4/9 [00:00<00:01,  5.00it/s]]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 6: 100%|██████████| 9/9 [00:01<00:00,  5.26it/s]]
Cross Validation Time Series 7: 100%|██████████| 9/9 [00:04<00:00,  2.12it/s]
Cross Validation Time Series 8: 100%|██████████| 9/9 [00:02<00:00,  3.82it/s]]
Cross Validation Time Series 9:  11%|█         | 1/9 [00:00<00:01,  5.23it/s]]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 12: 100%|██████████| 9/9 [00:01<00:00,  5.06it/s]
Cross Validation Time Series 7:  22%|██▏       | 2/9 [00:00<00:02,  2.89it/s]]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 13:  44%|████▍     | 4/9 [00:00<00:00,  7.68it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 6:  56%|█████▌    | 5/9 [00:02<00:02,  1.89it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 13:  56%|█████▌    | 5/9 [00:00<00:00,  5.74it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 9:  56%|█████▌    | 5/9 [00:01<00:01,  3.65it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 4: 100%|██████████| 9/9 [00:09<00:00,  1.08s/it]]
Cross Validation Time Series 9: 100%|██████████| 9/9 [00:02<00:00,  3.63it/s]]
Cross Validation Time Series 8: 100%|██████████| 9/9 [00:02<00:00,  3.39it/s]
Cross Validation Time Series 13: 100%|██████████| 9/9 [00:02<00:00,  3.85it/s]
Cross Validation Time Series 10:  11%|█         | 1/9 [00:00<00:01,  4.16it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 8:  89%|████████▉ | 8/9 [00:06<00:00,  1.27it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 7: 100%|██████████| 9/9 [00:03<00:00,  2.70it/s]
Cross Validation Time Series 6: 100%|██████████| 9/9 [00:05<00:00,  1.77it/s]]
Cross Validation Time Series 7:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 8: 100%|██████████| 9/9 [00:06<00:00,  1.30it/s]]
Cross Validation Time Series 11: 100%|██████████| 9/9 [00:06<00:00,  1.33it/s]
Cross Validation Time Series 9: 100%|██████████| 9/9 [00:01<00:00,  4.55it/s]]
Cross Validation Time Series 10: 100%|██████████| 9/9 [00:02<00:00,  3.14it/s]
Cross Validation Time Series 9: 100%|██████████| 9/9 [00:01<00:00,  4.63it/s]]
Cross Validation Time Series 8: 100%|██████████| 9/9 [00:02<00:00,  3.06it/s]]
Cross Validation Time Series 12: 100%|██████████| 9/9 [00:02<00:00,  4.11it/s]
Cross Validation Time Series 7: 100%|██████████| 9/9 [00:02<00:00,  3.02it/s]]
Cross Validation Time Series 5: 100%|██████████| 9/9 [00:06<00:00,  1.41it/s]]
Cross Validation Time Series 11: 100%|██████████| 9/9 [00:02<00:00,  3.13it/s]
Cross Validation Time Series 13: 100%|██████████| 9/9 [00:02<00:00,  3.37it/s]
Cross Validation Time Series 14: 100%|██████████| 9/9 [00:06<00:00,  1.43it/s]
Cross Validation Time Series 9: 100%|██████████| 9/9 [00:02<00:00,  3.07it/s]]
Cross Validation Time Series 8: 100%|██████████| 9/9 [00:05<00:00,  1.59it/s]]
Cross Validation Time Series 15:  33%|███▎      | 3/9 [00:03<00:06,  1.07s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 10: 100%|██████████| 9/9 [00:06<00:00,  1.33it/s]
Cross Validation Time Series 11:  11%|█         | 1/9 [00:00<00:02,  2.73it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 10: 100%|██████████| 9/9 [00:04<00:00,  2.19it/s]
Cross Validation Time Series 10: 100%|██████████| 9/9 [00:09<00:00,  1.02s/it]
Cross Validation Time Series 15: 100%|██████████| 9/9 [00:06<00:00,  1.47it/s]
Cross Validation Time Series 11:  67%|██████▋   | 6/9 [00:01<00:00,  4.72it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 11:  78%|███████▊  | 7/9 [00:01<00:00,  4.67it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 11: 100%|██████████| 9/9 [00:02<00:00,  3.18it/s]
Cross Validation Time Series 11: 100%|██████████| 9/9 [00:02<00:00,  4.37it/s]
Cross Validation Time Series 9: 100%|██████████| 9/9 [00:03<00:00,  2.31it/s]
Cross Validation Time Series 16:  78%|███████▊  | 7/9 [00:01<00:00,  4.60it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 16:  89%|████████▉ | 8/9 [00:01<00:00,  4.51it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 11:  89%|████████▉ | 8/9 [00:03<00:00,  2.11it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 16: 100%|██████████| 9/9 [00:01<00:00,  5.00it/s]
Cross Validation Time Series 6: 100%|██████████| 9/9 [00:09<00:00,  1.04s/it]]
Cross Validation Time Series 10: 100%|██████████| 9/9 [00:01<00:00,  4.83it/s]
Cross Validation Time Series 11: 100%|██████████| 9/9 [00:04<00:00,  1.92it/s]
Cross Validation Time Series 12: 100%|██████████| 9/9 [00:03<00:00,  2.84it/s]
Cross Validation Time Series 12: 100%|██████████| 9/9 [00:03<00:00,  2.87it/s]
Cross Validation Time Series 12: 100%|██████████| 9/9 [00:10<00:00,  1.22s/it]
Cross Validation Time Series 12: 100%|██████████| 9/9 [00:02<00:00,  4.48it/s]
Cross Validation Time Series 13: 100%|██████████| 9/9 [00:02<00:00,  4.49it/s]
Cross Validation Time Series 13: 100%|██████████| 9/9 [00:01<00:00,  6.19it/s]
Cross Validation Time Series 17: 100%|██████████| 9/9 [00:04<00:00,  2.02it/s]
Cross Validation Time Series 18:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 7:  44%|████▍     | 4/9 [00:04<00:05,  1.07s/it]]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 13: 100%|██████████| 9/9 [00:02<00:00,  3.58it/s]
Cross Validation Time Series 14:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 14: 100%|██████████| 9/9 [00:13<00:00,  1.54s/it]
Cross Validation Time Series 18: 100%|██████████| 9/9 [00:01<00:00,  5.61it/s]
Cross Validation Time Series 14:  89%|████████▉ | 8/9 [00:01<00:00,  4.32it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 14: 100%|██████████| 9/9 [00:01<00:00,  4.68it/s]
Cross Validation Time Series 14:  44%|████▍     | 4/9 [00:02<00:03,  1.45it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 15:  33%|███▎      | 3/9 [00:00<00:01,  4.17it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 15: 100%|██████████| 9/9 [00:01<00:00,  4.75it/s]
Cross Validation Time Series 11: 100%|██████████| 9/9 [00:07<00:00,  1.27it/s]
Cross Validation Time Series 19: 100%|██████████| 9/9 [00:02<00:00,  4.15it/s]
Cross Validation Time Series 20:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 15: 100%|██████████| 9/9 [00:01<00:00,  4.53it/s]
Cross Validation Time Series 14:  78%|███████▊  | 7/9 [00:04<00:01,  1.40it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 7:  89%|████████▉ | 8/9 [00:08<00:01,  1.07s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 7: 100%|██████████| 9/9 [00:09<00:00,  1.05s/it]]
Cross Validation Time Series 16: 100%|██████████| 9/9 [00:02<00:00,  4.15it/s]
Cross Validation Time Series 14: 100%|██████████| 9/9 [00:06<00:00,  1.38it/s]
Cross Validation Time Series 20: 100%|██████████| 9/9 [00:02<00:00,  4.41it/s]
Cross Validation Time Series 12:  67%|██████▋   | 6/9 [00:02<00:01,  2.55it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 15:  11%|█         | 1/9 [00:00<00:02,  3.44it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 12: 100%|██████████| 9/9 [00:03<00:00,  2.51it/s]
Cross Validation Time Series 8:  56%|█████▌    | 5/9 [00:01<00:01,  2.85it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 16:  33%|███▎      | 3/9 [00:03<00:07,  1.19s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 21: 100%|██████████| 9/9 [00:02<00:00,  3.79it/s]
Cross Validation Time Series 8: 100%|██████████| 9/9 [00:03<00:00,  2.97it/s]]
Cross Validation Time Series 17: 100%|██████████| 9/9 [00:06<00:00,  1.44it/s]
Cross Validation Time Series 13: 100%|██████████| 9/9 [00:04<00:00,  1.89it/s]
Cross Validation Time Series 15: 100%|██████████| 9/9 [00:06<00:00,  1.33it/s]
Cross Validation Time Series 13: 100%|██████████| 9/9 [00:17<00:00,  1.91s/it]
Cross Validation Time Series 14: 100%|██████████| 9/9 [00:14<00:00,  1.66s/it]
Cross Validation Time Series 18: 100%|██████████| 9/9 [00:04<00:00,  1.80it/s]
Cross Validation Time Series 22: 100%|██████████| 9/9 [00:08<00:00,  1.02it/s]
Cross Validation Time Series 23:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 16: 100%|██████████| 9/9 [00:13<00:00,  1.47s/it]
Cross Validation Time Series 19:  11%|█         | 1/9 [00:00<00:05,  1.54it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 17:  11%|█         | 1/9 [00:00<00:03,  2.25it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 14: 100%|██████████| 9/9 [00:03<00:00,  2.98it/s]
Cross Validation Time Series 23: 100%|██████████| 9/9 [00:01<00:00,  4.71it/s]
Cross Validation Time Series 15: 100%|██████████| 9/9 [00:04<00:00,  2.24it/s]
Cross Validation Time Series 15: 100%|██████████| 9/9 [00:01<00:00,  4.80it/s]
Cross Validation Time Series 9:  89%|████████▉ | 8/9 [00:11<00:01,  1.06s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 14: 100%|██████████| 9/9 [00:08<00:00,  1.12it/s]
Cross Validation Time Series 9: 100%|██████████| 9/9 [00:12<00:00,  1.33s/it]]
Cross Validation Time Series 16: 100%|██████████| 9/9 [00:08<00:00,  1.12it/s]
Cross Validation Time Series 19: 100%|██████████| 9/9 [00:04<00:00,  1.84it/s]
Cross Validation Time Series 16: 100%|██████████| 9/9 [00:02<00:00,  3.69it/s]
Cross Validation Time Series 17: 100%|██████████| 9/9 [00:06<00:00,  1.45it/s]
Cross Validation Time Series 15: 100%|██████████| 9/9 [00:04<00:00,  2.09it/s]
Cross Validation Time Series 17:  56%|█████▌    | 5/9 [00:03<00:02,  1.39it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 24:  89%|████████▉ | 8/9 [00:05<00:00,  1.09it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 17:  67%|██████▋   | 6/9 [00:04<00:02,  1.33it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 24: 100%|██████████| 9/9 [00:06<00:00,  1.34it/s]
Cross Validation Time Series 17: 100%|██████████| 9/9 [00:03<00:00,  2.49it/s]
Cross Validation Time Series 17: 100%|██████████| 9/9 [00:05<00:00,  1.54it/s]
Cross Validation Time Series 25:  33%|███▎      | 3/9 [00:00<00:01,  3.61it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 16: 100%|██████████| 9/9 [00:02<00:00,  3.55it/s]
Cross Validation Time Series 20:  67%|██████▋   | 6/9 [00:05<00:02,  1.16it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 16: 100%|██████████| 9/9 [00:08<00:00,  1.05it/s]
Cross Validation Time Series 18: 100%|██████████| 9/9 [00:02<00:00,  3.52it/s]
Cross Validation Time Series 18: 100%|██████████| 9/9 [00:01<00:00,  4.54it/s]
Cross Validation Time Series 20: 100%|██████████| 9/9 [00:07<00:00,  1.18it/s]
Cross Validation Time Series 18: 100%|██████████| 9/9 [00:06<00:00,  1.42it/s]
Cross Validation Time Series 19:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 19:  11%|█         | 1/9 [00:00<00:01,  6.08it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 25: 100%|██████████| 9/9 [00:04<00:00,  2.08it/s]
Cross Validation Time Series 17: 100%|██████████| 9/9 [00:03<00:00,  2.29it/s]
Cross Validation Time Series 19: 100%|██████████| 9/9 [00:02<00:00,  3.31it/s]
Cross Validation Time Series 10: 100%|██████████| 9/9 [00:10<00:00,  1.21s/it]
Cross Validation Time Series 19: 100%|██████████| 9/9 [00:01<00:00,  4.71it/s]
Cross Validation Time Series 26:  78%|███████▊  | 7/9 [00:01<00:00,  3.84it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 26:  89%|████████▉ | 8/9 [00:02<00:00,  3.13it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 20:  56%|█████▌    | 5/9 [00:00<00:00,  4.89it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 26: 100%|██████████| 9/9 [00:02<00:00,  3.47it/s]
Cross Validation Time Series 20:  78%|███████▊  | 7/9 [00:01<00:00,  4.35it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 17:  56%|█████▌    | 5/9 [00:06<00:05,  1.37s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 20: 100%|██████████| 9/9 [00:03<00:00,  2.96it/s]
Cross Validation Time Series 21:  78%|███████▊  | 7/9 [00:05<00:02,  1.06s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 27: 100%|██████████| 9/9 [00:03<00:00,  2.37it/s]
Cross Validation Time Series 18: 100%|██████████| 9/9 [00:05<00:00,  1.55it/s]
Cross Validation Time Series 21: 100%|██████████| 9/9 [00:07<00:00,  1.24it/s]
Cross Validation Time Series 11:  67%|██████▋   | 6/9 [00:05<00:02,  1.18it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 28:  22%|██▏       | 2/9 [00:00<00:00,  7.95it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 20: 100%|██████████| 9/9 [00:05<00:00,  1.58it/s]
Cross Validation Time Series 11: 100%|██████████| 9/9 [00:06<00:00,  1.34it/s]
Cross Validation Time Series 28: 100%|██████████| 9/9 [00:01<00:00,  5.28it/s]
Cross Validation Time Series 19: 100%|██████████| 9/9 [00:10<00:00,  1.13s/it]
Cross Validation Time Series 17: 100%|██████████| 9/9 [00:11<00:00,  1.27s/it]
Cross Validation Time Series 18:  11%|█         | 1/9 [00:00<00:01,  4.42it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 22: 100%|██████████| 9/9 [00:03<00:00,  2.77it/s]
Cross Validation Time Series 20:  44%|████▍     | 4/9 [00:01<00:01,  3.00it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 19: 100%|██████████| 9/9 [00:03<00:00,  2.48it/s]
Cross Validation Time Series 21: 100%|██████████| 9/9 [00:06<00:00,  1.30it/s]
Cross Validation Time Series 18: 100%|██████████| 9/9 [00:01<00:00,  4.68it/s]
Cross Validation Time Series 29: 100%|██████████| 9/9 [00:03<00:00,  2.80it/s]
Cross Validation Time Series 20: 100%|██████████| 9/9 [00:03<00:00,  2.69it/s]
Cross Validation Time Series 22: 100%|██████████| 9/9 [00:02<00:00,  3.29it/s]
Cross Validation Time Series 19: 100%|██████████| 9/9 [00:04<00:00,  2.06it/s]
Cross Validation Time Series 23: 100%|██████████| 9/9 [00:02<00:00,  4.00it/s]
Cross Validation Time Series 21: 100%|██████████| 9/9 [00:09<00:00,  1.08s/it]
Cross Validation Time Series 20: 100%|██████████| 9/9 [00:07<00:00,  1.27it/s]
Cross Validation Time Series 21: 100%|██████████| 9/9 [00:06<00:00,  1.39it/s]
Cross Validation Time Series 23: 100%|██████████| 9/9 [00:08<00:00,  1.05it/s]
Cross Validation Time Series 12: 100%|██████████| 9/9 [00:10<00:00,  1.17s/it]
Cross Validation Time Series 22: 100%|██████████| 9/9 [00:02<00:00,  4.23it/s]
Cross Validation Time Series 22:  33%|███▎      | 3/9 [00:01<00:02,  2.52it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 13:  11%|█         | 1/9 [00:01<00:08,  1.05s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 24: 100%|██████████| 9/9 [00:04<00:00,  1.97it/s]
Cross Validation Time Series 30: 100%|██████████| 9/9 [00:09<00:00,  1.08s/it]
Cross Validation Time Series 23: 100%|██████████| 9/9 [00:02<00:00,  3.68it/s]
Cross Validation Time Series 22: 100%|██████████| 9/9 [00:04<00:00,  2.13it/s]
Cross Validation Time Series 21: 100%|██████████| 9/9 [00:05<00:00,  1.60it/s]
Cross Validation Time Series 24:  67%|██████▋   | 6/9 [00:01<00:00,  5.89it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 24:  89%|████████▉ | 8/9 [00:01<00:00,  5.36it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 24: 100%|██████████| 9/9 [00:01<00:00,  4.94it/s]
Cross Validation Time Series 20: 100%|██████████| 9/9 [00:07<00:00,  1.15it/s]
Cross Validation Time Series 21:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 24: 100%|██████████| 9/9 [00:05<00:00,  1.70it/s]
Cross Validation Time Series 25: 100%|██████████| 9/9 [00:05<00:00,  1.71it/s]
Cross Validation Time Series 21:  89%|████████▉ | 8/9 [00:03<00:00,  2.05it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 22: 100%|██████████| 9/9 [00:04<00:00,  1.90it/s]
Cross Validation Time Series 21: 100%|██████████| 9/9 [00:04<00:00,  2.23it/s]
Cross Validation Time Series 23:  89%|████████▉ | 8/9 [00:05<00:00,  1.25it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 25: 100%|██████████| 9/9 [00:04<00:00,  2.14it/s]
Cross Validation Time Series 23:  22%|██▏       | 2/9 [00:00<00:01,  4.13it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 31: 100%|██████████| 9/9 [00:07<00:00,  1.26it/s]
Cross Validation Time Series 32:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 23: 100%|██████████| 9/9 [00:05<00:00,  1.59it/s]
Cross Validation Time Series 26:  44%|████▍     | 4/9 [00:02<00:02,  1.89it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 26:  44%|████▍     | 4/9 [00:00<00:00,  6.55it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 26:  67%|██████▋   | 6/9 [00:00<00:00,  6.52it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 13: 100%|██████████| 9/9 [00:10<00:00,  1.13s/it]
Cross Validation Time Series 26:  78%|███████▊  | 7/9 [00:01<00:00,  6.19it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 26: 100%|██████████| 9/9 [00:01<00:00,  6.17it/s]
Cross Validation Time Series 23: 100%|██████████| 9/9 [00:02<00:00,  3.92it/s]
Cross Validation Time Series 26: 100%|██████████| 9/9 [00:04<00:00,  2.10it/s]
Cross Validation Time Series 25: 100%|██████████| 9/9 [00:06<00:00,  1.35it/s]
Cross Validation Time Series 32: 100%|██████████| 9/9 [00:02<00:00,  3.16it/s]
Cross Validation Time Series 27: 100%|██████████| 9/9 [00:02<00:00,  3.72it/s]
Cross Validation Time Series 27:  56%|█████▌    | 5/9 [00:01<00:01,  3.30it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 14:  89%|████████▉ | 8/9 [00:03<00:00,  2.41it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 24:  56%|█████▌    | 5/9 [00:04<00:03,  1.04it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 14: 100%|██████████| 9/9 [00:03<00:00,  2.39it/s]
Cross Validation Time Series 27: 100%|██████████| 9/9 [00:02<00:00,  3.15it/s]
Cross Validation Time Series 24: 100%|██████████| 9/9 [00:04<00:00,  2.13it/s]
Cross Validation Time Series 28: 100%|██████████| 9/9 [00:02<00:00,  3.10it/s]
Cross Validation Time Series 26: 100%|██████████| 9/9 [00:04<00:00,  2.13it/s]
Cross Validation Time Series 25: 100%|██████████| 9/9 [00:02<00:00,  3.82it/s]
Cross Validation Time Series 24: 100%|██████████| 9/9 [00:08<00:00,  1.03it/s]
Cross Validation Time Series 27: 100%|██████████| 9/9 [00:02<00:00,  3.27it/s]
Cross Validation Time Series 29: 100%|██████████| 9/9 [00:04<00:00,  1.92it/s]
Cross Validation Time Series 28:  56%|█████▌    | 5/9 [00:06<00:04,  1.24s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 26: 100%|██████████| 9/9 [00:03<00:00,  2.63it/s]
Cross Validation Time Series 22: 100%|██████████| 9/9 [00:13<00:00,  1.52s/it]
Cross Validation Time Series 25:  89%|████████▉ | 8/9 [00:04<00:00,  1.07it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 33: 100%|██████████| 9/9 [00:10<00:00,  1.17s/it]
Cross Validation Time Series 30:  33%|███▎      | 3/9 [00:02<00:05,  1.11it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 15:  89%|████████▉ | 8/9 [00:09<00:01,  1.34s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 25: 100%|██████████| 9/9 [00:05<00:00,  1.68it/s]
Cross Validation Time Series 15: 100%|██████████| 9/9 [00:10<00:00,  1.15s/it]
Cross Validation Time Series 30: 100%|██████████| 9/9 [00:04<00:00,  1.95it/s]
Cross Validation Time Series 27: 100%|██████████| 9/9 [00:04<00:00,  2.12it/s]
Cross Validation Time Series 23: 100%|██████████| 9/9 [00:03<00:00,  2.72it/s]
Cross Validation Time Series 28: 100%|██████████| 9/9 [00:13<00:00,  1.54s/it]
Cross Validation Time Series 28: 100%|██████████| 9/9 [00:09<00:00,  1.10s/it]
Cross Validation Time Series 34: 100%|██████████| 9/9 [00:06<00:00,  1.31it/s]
Cross Validation Time Series 24: 100%|██████████| 9/9 [00:05<00:00,  1.61it/s]
Cross Validation Time Series 29: 100%|██████████| 9/9 [00:02<00:00,  3.02it/s]
Cross Validation Time Series 16: 100%|██████████| 9/9 [00:09<00:00,  1.06s/it]
Cross Validation Time Series 25: 100%|██████████| 9/9 [00:02<00:00,  3.81it/s]
Cross Validation Time Series 26:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 28:  89%|████████▉ | 8/9 [00:08<00:01,  1.01s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 26: 100%|██████████| 9/9 [00:10<00:00,  1.21s/it]
Cross Validation Time Series 30: 100%|██████████| 9/9 [00:03<00:00,  2.54it/s]
Cross Validation Time Series 28: 100%|██████████| 9/9 [00:09<00:00,  1.11s/it]
Cross Validation Time Series 31: 100%|██████████| 9/9 [00:10<00:00,  1.16s/it]
Cross Validation Time Series 29: 100%|██████████| 9/9 [00:07<00:00,  1.22it/s]
Cross Validation Time Series 17: 100%|██████████| 9/9 [00:02<00:00,  4.28it/s]
Cross Validation Time Series 31:  22%|██▏       | 2/9 [00:00<00:03,  2.08it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 32: 100%|██████████| 9/9 [00:01<00:00,  5.01it/s]
Cross Validation Time Series 31: 100%|██████████| 9/9 [00:02<00:00,  3.28it/s]
Cross Validation Time Series 33:  33%|███▎      | 3/9 [00:00<00:01,  4.94it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 29: 100%|██████████| 9/9 [00:02<00:00,  3.28it/s]
Cross Validation Time Series 18: 100%|██████████| 9/9 [00:02<00:00,  3.81it/s]
Cross Validation Time Series 19:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 33:  67%|██████▋   | 6/9 [00:01<00:00,  4.99it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 27: 100%|██████████| 9/9 [00:05<00:00,  1.78it/s]
Cross Validation Time Series 32: 100%|██████████| 9/9 [00:01<00:00,  4.58it/s]
Cross Validation Time Series 33: 100%|██████████| 9/9 [00:03<00:00,  2.82it/s]
Cross Validation Time Series 26: 100%|██████████| 9/9 [00:09<00:00,  1.07s/it]
Cross Validation Time Series 30:  44%|████▍     | 4/9 [00:07<00:10,  2.02s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 28: 100%|██████████| 9/9 [00:04<00:00,  2.07it/s]
Cross Validation Time Series 34:  44%|████▍     | 4/9 [00:03<00:03,  1.29it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 33: 100%|██████████| 9/9 [00:04<00:00,  1.90it/s]
Cross Validation Time Series 34:  56%|█████▌    | 5/9 [00:03<00:02,  1.50it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 27: 100%|██████████| 9/9 [00:02<00:00,  3.45it/s]
Cross Validation Time Series 34:  89%|████████▉ | 8/9 [00:05<00:00,  1.73it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 28:  33%|███▎      | 3/9 [00:00<00:00,  8.40it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 34: 100%|██████████| 9/9 [00:06<00:00,  1.49it/s]
Cross Validation Time Series 19: 100%|██████████| 9/9 [00:08<00:00,  1.06it/s]
Cross Validation Time Series 30: 100%|██████████| 9/9 [00:11<00:00,  1.24s/it]
Cross Validation Time Series 31:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 35: 100%|██████████| 9/9 [00:17<00:00,  1.95s/it]
Cross Validation Time Series 28: 100%|██████████| 9/9 [00:01<00:00,  4.66it/s]
Cross Validation Time Series 20: 100%|██████████| 9/9 [00:02<00:00,  3.01it/s]
Cross Validation Time Series 30: 100%|██████████| 9/9 [00:12<00:00,  1.37s/it]
Cross Validation Time Series 21:  33%|███▎      | 3/9 [00:01<00:02,  2.86it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 31:  33%|███▎      | 3/9 [00:00<00:00,  6.28it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 31:  44%|████▍     | 4/9 [00:00<00:00,  6.59it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 34: 100%|██████████| 9/9 [00:06<00:00,  1.29it/s]
Cross Validation Time Series 35:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 31:  44%|████▍     | 4/9 [00:05<00:06,  1.28s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 35:  33%|███▎      | 3/9 [00:00<00:00,  6.54it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 36: 100%|██████████| 9/9 [00:04<00:00,  1.88it/s]
Cross Validation Time Series 31: 100%|██████████| 9/9 [00:01<00:00,  4.58it/s]
Cross Validation Time Series 35: 100%|██████████| 9/9 [00:06<00:00,  1.49it/s]
Cross Validation Time Series 29:  89%|████████▉ | 8/9 [00:04<00:00,  1.65it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 35:  78%|███████▊  | 7/9 [00:01<00:00,  4.69it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 21: 100%|██████████| 9/9 [00:03<00:00,  2.78it/s]
Cross Validation Time Series 31:  56%|█████▌    | 5/9 [00:06<00:04,  1.24s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 29: 100%|██████████| 9/9 [00:05<00:00,  1.74it/s]
Cross Validation Time Series 37:  56%|█████▌    | 5/9 [00:01<00:00,  4.47it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 35: 100%|██████████| 9/9 [00:01<00:00,  4.86it/s]
Cross Validation Time Series 36: 100%|██████████| 9/9 [00:01<00:00,  5.72it/s]
Cross Validation Time Series 32:  89%|████████▉ | 8/9 [00:01<00:00,  4.07it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 37: 100%|██████████| 9/9 [00:02<00:00,  3.74it/s]
Cross Validation Time Series 32: 100%|██████████| 9/9 [00:02<00:00,  4.39it/s]
Cross Validation Time Series 33:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 38:  33%|███▎      | 3/9 [00:00<00:01,  4.94it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 38:  56%|█████▌    | 5/9 [00:01<00:00,  4.63it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 37: 100%|██████████| 9/9 [00:01<00:00,  6.02it/s]
Cross Validation Time Series 38:  11%|█         | 1/9 [00:00<00:01,  4.15it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 29: 100%|██████████| 9/9 [00:12<00:00,  1.36s/it]
Cross Validation Time Series 38: 100%|██████████| 9/9 [00:01<00:00,  4.71it/s]
Cross Validation Time Series 38:  44%|████▍     | 4/9 [00:01<00:02,  1.99it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 31: 100%|██████████| 9/9 [00:11<00:00,  1.30s/it]
Cross Validation Time Series 33: 100%|██████████| 9/9 [00:04<00:00,  2.16it/s]
Cross Validation Time Series 36: 100%|██████████| 9/9 [00:05<00:00,  1.60it/s]
Cross Validation Time Series 38: 100%|██████████| 9/9 [00:04<00:00,  2.24it/s]
Cross Validation Time Series 39: 100%|██████████| 9/9 [00:05<00:00,  1.64it/s]
Cross Validation Time Series 32: 100%|██████████| 9/9 [00:03<00:00,  2.59it/s]
Cross Validation Time Series 30:  78%|███████▊  | 7/9 [00:08<00:02,  1.21s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 37:  78%|███████▊  | 7/9 [00:03<00:00,  2.34it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 30:  67%|██████▋   | 6/9 [00:06<00:02,  1.16it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 34: 100%|██████████| 9/9 [00:03<00:00,  2.28it/s]
Cross Validation Time Series 30:  89%|████████▉ | 8/9 [00:09<00:01,  1.15s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 37: 100%|██████████| 9/9 [00:04<00:00,  2.08it/s]
Cross Validation Time Series 40: 100%|██████████| 9/9 [00:01<00:00,  6.10it/s]
Cross Validation Time Series 35:  44%|████▍     | 4/9 [00:00<00:00,  5.09it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 39: 100%|██████████| 9/9 [00:03<00:00,  2.27it/s]
Cross Validation Time Series 40:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 30: 100%|██████████| 9/9 [00:10<00:00,  1.20s/it]
Cross Validation Time Series 22: 100%|██████████| 9/9 [00:11<00:00,  1.23s/it]
Cross Validation Time Series 30: 100%|██████████| 9/9 [00:08<00:00,  1.07it/s]
Cross Validation Time Series 35: 100%|██████████| 9/9 [00:02<00:00,  3.66it/s]
Cross Validation Time Series 33: 100%|██████████| 9/9 [00:03<00:00,  2.85it/s]
Cross Validation Time Series 41: 100%|██████████| 9/9 [00:02<00:00,  3.08it/s]
Cross Validation Time Series 38: 100%|██████████| 9/9 [00:03<00:00,  2.58it/s]
Cross Validation Time Series 40: 100%|██████████| 9/9 [00:03<00:00,  2.92it/s]
Cross Validation Time Series 31: 100%|██████████| 9/9 [00:03<00:00,  2.88it/s]
Cross Validation Time Series 39:  22%|██▏       | 2/9 [00:00<00:01,  3.92it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 32:  33%|███▎      | 3/9 [00:00<00:01,  5.77it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 41:  44%|████▍     | 4/9 [00:00<00:01,  4.60it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 36:  67%|██████▋   | 6/9 [00:02<00:01,  1.70it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 41:  56%|█████▌    | 5/9 [00:01<00:01,  4.00it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 42:  89%|████████▉ | 8/9 [00:01<00:00,  3.71it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 42: 100%|██████████| 9/9 [00:02<00:00,  3.96it/s]
Cross Validation Time Series 32: 100%|██████████| 9/9 [00:01<00:00,  4.86it/s]
Cross Validation Time Series 41: 100%|██████████| 9/9 [00:02<00:00,  4.27it/s]
Cross Validation Time Series 39: 100%|██████████| 9/9 [00:02<00:00,  4.03it/s]
Cross Validation Time Series 40:  11%|█         | 1/9 [00:00<00:02,  3.51it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 34: 100%|██████████| 9/9 [00:04<00:00,  2.10it/s]
Cross Validation Time Series 42:  22%|██▏       | 2/9 [00:00<00:01,  3.73it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 35:  11%|█         | 1/9 [00:00<00:02,  3.07it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 35:  44%|████▍     | 4/9 [00:01<00:01,  3.73it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 23:  78%|███████▊  | 7/9 [00:06<00:01,  1.04it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 33: 100%|██████████| 9/9 [00:02<00:00,  3.51it/s]
Cross Validation Time Series 36: 100%|██████████| 9/9 [00:06<00:00,  1.38it/s]
Cross Validation Time Series 34:  11%|█         | 1/9 [00:00<00:01,  4.80it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 35: 100%|██████████| 9/9 [00:02<00:00,  3.39it/s]
Cross Validation Time Series 43: 100%|██████████| 9/9 [00:04<00:00,  2.19it/s]
Cross Validation Time Series 23: 100%|██████████| 9/9 [00:08<00:00,  1.04it/s]
Cross Validation Time Series 40: 100%|██████████| 9/9 [00:03<00:00,  2.28it/s]
Cross Validation Time Series 36:  22%|██▏       | 2/9 [00:01<00:07,  1.01s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 37:  78%|███████▊  | 7/9 [00:03<00:01,  1.65it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 36:  44%|████▍     | 4/9 [00:03<00:04,  1.24it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 37: 100%|██████████| 9/9 [00:04<00:00,  2.10it/s]
Cross Validation Time Series 42: 100%|██████████| 9/9 [00:07<00:00,  1.24it/s]
Cross Validation Time Series 43:  11%|█         | 1/9 [00:00<00:02,  3.24it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 41:  78%|███████▊  | 7/9 [00:03<00:00,  2.21it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 38:  56%|█████▌    | 5/9 [00:01<00:00,  4.92it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 36: 100%|██████████| 9/9 [00:05<00:00,  1.67it/s]
Cross Validation Time Series 41: 100%|██████████| 9/9 [00:04<00:00,  1.94it/s]
Cross Validation Time Series 44: 100%|██████████| 9/9 [00:05<00:00,  1.79it/s]
Cross Validation Time Series 34: 100%|██████████| 9/9 [00:06<00:00,  1.43it/s]
Cross Validation Time Series 38: 100%|██████████| 9/9 [00:01<00:00,  4.55it/s]
Cross Validation Time Series 24:  67%|██████▋   | 6/9 [00:05<00:01,  1.51it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 37:  44%|████▍     | 4/9 [00:00<00:01,  4.88it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 43:  78%|███████▊  | 7/9 [00:02<00:00,  2.90it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 43: 100%|██████████| 9/9 [00:02<00:00,  3.16it/s]
Cross Validation Time Series 31: 100%|██████████| 9/9 [00:14<00:00,  1.61s/it]
Cross Validation Time Series 35: 100%|██████████| 9/9 [00:01<00:00,  6.22it/s]
Cross Validation Time Series 36:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 32:  11%|█         | 1/9 [00:00<00:02,  3.82it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 24: 100%|██████████| 9/9 [00:06<00:00,  1.31it/s]
Cross Validation Time Series 39: 100%|██████████| 9/9 [00:02<00:00,  3.35it/s]
Cross Validation Time Series 45:  89%|████████▉ | 8/9 [00:03<00:00,  2.63it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 44: 100%|██████████| 9/9 [00:01<00:00,  4.75it/s]
Cross Validation Time Series 45: 100%|██████████| 9/9 [00:03<00:00,  2.64it/s]
Cross Validation Time Series 42:  78%|███████▊  | 7/9 [00:03<00:01,  1.86it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 45:  11%|█         | 1/9 [00:00<00:04,  1.83it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 32: 100%|██████████| 9/9 [00:03<00:00,  2.76it/s]
Cross Validation Time Series 42: 100%|██████████| 9/9 [00:04<00:00,  1.81it/s]
Cross Validation Time Series 40: 100%|██████████| 9/9 [00:02<00:00,  3.60it/s]
Cross Validation Time Series 37: 100%|██████████| 9/9 [00:07<00:00,  1.25it/s]
Cross Validation Time Series 41: 100%|██████████| 9/9 [00:03<00:00,  2.44it/s]
Cross Validation Time Series 46: 100%|██████████| 9/9 [00:06<00:00,  1.41it/s]
Cross Validation Time Series 33: 100%|██████████| 9/9 [00:05<00:00,  1.54it/s]
Cross Validation Time Series 36: 100%|██████████| 9/9 [00:10<00:00,  1.13s/it]
Cross Validation Time Series 42:  89%|████████▉ | 8/9 [00:02<00:00,  3.29it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 42: 100%|██████████| 9/9 [00:02<00:00,  3.00it/s]
Cross Validation Time Series 47: 100%|██████████| 9/9 [00:02<00:00,  3.67it/s]
Cross Validation Time Series 38: 100%|██████████| 9/9 [00:05<00:00,  1.67it/s]
Cross Validation Time Series 39:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 43: 100%|██████████| 9/9 [00:07<00:00,  1.16it/s]
Cross Validation Time Series 25: 100%|██████████| 9/9 [00:10<00:00,  1.21s/it]
Cross Validation Time Series 26:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 48:  22%|██▏       | 2/9 [00:00<00:02,  3.02it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 37: 100%|██████████| 9/9 [00:02<00:00,  3.52it/s]
Cross Validation Time Series 26: 100%|██████████| 9/9 [00:01<00:00,  5.95it/s]
Cross Validation Time Series 48: 100%|██████████| 9/9 [00:02<00:00,  3.59it/s]
Cross Validation Time Series 45: 100%|██████████| 9/9 [00:11<00:00,  1.30s/it]
Cross Validation Time Series 39: 100%|██████████| 9/9 [00:02<00:00,  3.54it/s]
Cross Validation Time Series 40:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 43: 100%|██████████| 9/9 [00:06<00:00,  1.32it/s]
Cross Validation Time Series 46:  78%|███████▊  | 7/9 [00:04<00:01,  1.66it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 44: 100%|██████████| 9/9 [00:07<00:00,  1.26it/s]
Cross Validation Time Series 46: 100%|██████████| 9/9 [00:05<00:00,  1.75it/s]
Cross Validation Time Series 47:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 49: 100%|██████████| 9/9 [00:05<00:00,  1.64it/s]
Cross Validation Time Series 50:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 27: 100%|██████████| 9/9 [00:06<00:00,  1.40it/s]
Cross Validation Time Series 34: 100%|██████████| 9/9 [00:10<00:00,  1.16s/it]
Cross Validation Time Series 44: 100%|██████████| 9/9 [00:02<00:00,  4.25it/s]
Cross Validation Time Series 38: 100%|██████████| 9/9 [00:06<00:00,  1.31it/s]
Cross Validation Time Series 45:  44%|████▍     | 4/9 [00:01<00:02,  2.41it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 50:  44%|████▍     | 4/9 [00:01<00:02,  2.39it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 40: 100%|██████████| 9/9 [00:07<00:00,  1.28it/s]
Cross Validation Time Series 47:  78%|███████▊  | 7/9 [00:02<00:00,  2.84it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 45:  22%|██▏       | 2/9 [00:01<00:05,  1.26it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 47: 100%|██████████| 9/9 [00:03<00:00,  2.87it/s]
Cross Validation Time Series 39:  78%|███████▊  | 7/9 [00:02<00:00,  2.96it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 39: 100%|██████████| 9/9 [00:02<00:00,  3.29it/s]
Cross Validation Time Series 45: 100%|██████████| 9/9 [00:04<00:00,  2.20it/s]
Cross Validation Time Series 35: 100%|██████████| 9/9 [00:03<00:00,  2.80it/s]
Cross Validation Time Series 48:  33%|███▎      | 3/9 [00:00<00:01,  3.12it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 41: 100%|██████████| 9/9 [00:02<00:00,  3.88it/s]
Cross Validation Time Series 50: 100%|██████████| 9/9 [00:04<00:00,  2.13it/s]
Cross Validation Time Series 40:  33%|███▎      | 3/9 [00:00<00:01,  4.30it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 42:  11%|█         | 1/9 [00:00<00:04,  1.71it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 46:  44%|████▍     | 4/9 [00:01<00:03,  1.61it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 40:  56%|█████▌    | 5/9 [00:02<00:02,  1.56it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 42:  22%|██▏       | 2/9 [00:02<00:10,  1.50s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 51:  22%|██▏       | 2/9 [00:03<00:11,  1.69s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 48: 100%|██████████| 9/9 [00:05<00:00,  1.57it/s]
Cross Validation Time Series 40: 100%|██████████| 9/9 [00:05<00:00,  1.72it/s]
Cross Validation Time Series 46: 100%|██████████| 9/9 [00:05<00:00,  1.69it/s]
Cross Validation Time Series 47:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 49:  33%|███▎      | 3/9 [00:01<00:02,  2.87it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 49:  56%|█████▌    | 5/9 [00:01<00:01,  3.33it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 49:  67%|██████▋   | 6/9 [00:02<00:01,  2.87it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 28: 100%|██████████| 9/9 [00:10<00:00,  1.17s/it]
Cross Validation Time Series 36: 100%|██████████| 9/9 [00:07<00:00,  1.27it/s]
Cross Validation Time Series 49: 100%|██████████| 9/9 [00:03<00:00,  2.93it/s]
Cross Validation Time Series 42: 100%|██████████| 9/9 [00:07<00:00,  1.15it/s]
Cross Validation Time Series 45:  89%|████████▉ | 8/9 [00:11<00:01,  1.74s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 47: 100%|██████████| 9/9 [00:03<00:00,  2.88it/s]
Cross Validation Time Series 48:  11%|█         | 1/9 [00:00<00:01,  4.40it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 43:  22%|██▏       | 2/9 [00:00<00:02,  2.79it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 41:  44%|████▍     | 4/9 [00:04<00:05,  1.15s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 43:  44%|████▍     | 4/9 [00:01<00:01,  3.16it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 37: 100%|██████████| 9/9 [00:02<00:00,  3.19it/s]
Cross Validation Time Series 41:  56%|█████▌    | 5/9 [00:05<00:04,  1.11s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 45: 100%|██████████| 9/9 [00:13<00:00,  1.50s/it]
Cross Validation Time Series 38:  33%|███▎      | 3/9 [00:00<00:00,  6.76it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 48: 100%|██████████| 9/9 [00:02<00:00,  3.61it/s]
Cross Validation Time Series 51:  78%|███████▊  | 7/9 [00:10<00:02,  1.40s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 43: 100%|██████████| 9/9 [00:03<00:00,  2.47it/s]
Cross Validation Time Series 38: 100%|██████████| 9/9 [00:01<00:00,  5.12it/s]
Cross Validation Time Series 50: 100%|██████████| 9/9 [00:04<00:00,  2.19it/s]
Cross Validation Time Series 29:  67%|██████▋   | 6/9 [00:05<00:02,  1.01it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 46:  56%|█████▌    | 5/9 [00:04<00:04,  1.14s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 51:  22%|██▏       | 2/9 [00:02<00:10,  1.47s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 51: 100%|██████████| 9/9 [00:15<00:00,  1.78s/it]
Cross Validation Time Series 46: 100%|██████████| 9/9 [00:06<00:00,  1.40it/s]
Cross Validation Time Series 39: 100%|██████████| 9/9 [00:05<00:00,  1.63it/s]
Cross Validation Time Series 44: 100%|██████████| 9/9 [00:05<00:00,  1.52it/s]
Cross Validation Time Series 52:  67%|██████▋   | 6/9 [00:01<00:00,  4.39it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 29: 100%|██████████| 9/9 [00:10<00:00,  1.18s/it]
Cross Validation Time Series 49: 100%|██████████| 9/9 [00:07<00:00,  1.26it/s]
Cross Validation Time Series 45:  11%|█         | 1/9 [00:00<00:03,  2.42it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 41: 100%|██████████| 9/9 [00:13<00:00,  1.46s/it]
Cross Validation Time Series 47:  56%|█████▌    | 5/9 [00:01<00:01,  3.59it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 40:  67%|██████▋   | 6/9 [00:01<00:00,  5.46it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 51: 100%|██████████| 9/9 [00:06<00:00,  1.42it/s]
Cross Validation Time Series 50:  22%|██▏       | 2/9 [00:01<00:03,  1.95it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 40: 100%|██████████| 9/9 [00:01<00:00,  5.06it/s]
Cross Validation Time Series 52: 100%|██████████| 9/9 [00:02<00:00,  3.14it/s]
Cross Validation Time Series 47: 100%|██████████| 9/9 [00:02<00:00,  3.70it/s]
Cross Validation Time Series 48:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 45: 100%|██████████| 9/9 [00:04<00:00,  1.99it/s]
Cross Validation Time Series 30: 100%|██████████| 9/9 [00:04<00:00,  2.01it/s]
Cross Validation Time Series 42: 100%|██████████| 9/9 [00:04<00:00,  1.82it/s]
Cross Validation Time Series 53: 100%|██████████| 9/9 [00:05<00:00,  1.75it/s]
Cross Validation Time Series 48: 100%|██████████| 9/9 [00:05<00:00,  1.61it/s]
Cross Validation Time Series 46: 100%|██████████| 9/9 [00:03<00:00,  2.41it/s]
Cross Validation Time Series 50: 100%|██████████| 9/9 [00:09<00:00,  1.04s/it]
Cross Validation Time Series 31:  33%|███▎      | 3/9 [00:05<00:09,  1.62s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 43: 100%|██████████| 9/9 [00:04<00:00,  2.07it/s]
Cross Validation Time Series 47:  67%|██████▋   | 6/9 [00:01<00:00,  3.39it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 49: 100%|██████████| 9/9 [00:02<00:00,  3.12it/s]
Cross Validation Time Series 50:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 54: 100%|██████████| 9/9 [00:03<00:00,  2.50it/s]
Cross Validation Time Series 41:  78%|███████▊  | 7/9 [00:09<00:02,  1.16s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 47: 100%|██████████| 9/9 [00:02<00:00,  3.36it/s]
Cross Validation Time Series 31:  44%|████▍     | 4/9 [00:06<00:07,  1.47s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 48:  11%|█         | 1/9 [00:00<00:01,  4.67it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 51: 100%|██████████| 9/9 [00:01<00:00,  4.96it/s]
Cross Validation Time Series 50: 100%|██████████| 9/9 [00:04<00:00,  2.14it/s]
Cross Validation Time Series 41: 100%|██████████| 9/9 [00:13<00:00,  1.53s/it]
Cross Validation Time Series 55: 100%|██████████| 9/9 [00:04<00:00,  1.83it/s]
Cross Validation Time Series 42:  22%|██▏       | 2/9 [00:00<00:00, 10.49it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 42:  44%|████▍     | 4/9 [00:00<00:00,  5.34it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 48: 100%|██████████| 9/9 [00:05<00:00,  1.75it/s]
Cross Validation Time Series 56:  22%|██▏       | 2/9 [00:00<00:02,  2.53it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 52: 100%|██████████| 9/9 [00:16<00:00,  1.80s/it]
Cross Validation Time Series 42: 100%|██████████| 9/9 [00:01<00:00,  4.80it/s]
Cross Validation Time Series 43:  11%|█         | 1/9 [00:00<00:01,  6.87it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 44:  78%|███████▊  | 7/9 [00:07<00:02,  1.02s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 53:  33%|███▎      | 3/9 [00:00<00:01,  4.37it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 43:  33%|███▎      | 3/9 [00:00<00:01,  4.73it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 49:  22%|██▏       | 2/9 [00:01<00:06,  1.01it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 51: 100%|██████████| 9/9 [00:04<00:00,  2.19it/s]
Cross Validation Time Series 43: 100%|██████████| 9/9 [00:02<00:00,  4.23it/s]
Cross Validation Time Series 44: 100%|██████████| 9/9 [00:09<00:00,  1.07s/it]
Cross Validation Time Series 56: 100%|██████████| 9/9 [00:04<00:00,  2.17it/s]
Cross Validation Time Series 49:  44%|████▍     | 4/9 [00:03<00:04,  1.21it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 31: 100%|██████████| 9/9 [00:15<00:00,  1.77s/it]
Cross Validation Time Series 53: 100%|██████████| 9/9 [00:03<00:00,  2.49it/s]
Cross Validation Time Series 49:  56%|█████▌    | 5/9 [00:04<00:03,  1.09it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 49: 100%|██████████| 9/9 [00:08<00:00,  1.12it/s]
Cross Validation Time Series 44: 100%|██████████| 9/9 [00:05<00:00,  1.54it/s]
Cross Validation Time Series 57: 100%|██████████| 9/9 [00:05<00:00,  1.56it/s]
Cross Validation Time Series 52: 100%|██████████| 9/9 [00:13<00:00,  1.54s/it]
Cross Validation Time Series 53:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 45: 100%|██████████| 9/9 [00:06<00:00,  1.44it/s]
Cross Validation Time Series 53:  22%|██▏       | 2/9 [00:00<00:01,  6.48it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 58:  11%|█         | 1/9 [00:00<00:05,  1.35it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 53:  44%|████▍     | 4/9 [00:00<00:00,  5.25it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 32:  44%|████▍     | 4/9 [00:05<00:06,  1.31s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 50:  33%|███▎      | 3/9 [00:02<00:05,  1.12it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 53: 100%|██████████| 9/9 [00:01<00:00,  4.50it/s]
Cross Validation Time Series 45: 100%|██████████| 9/9 [00:02<00:00,  3.43it/s]
Cross Validation Time Series 46: 100%|██████████| 9/9 [00:02<00:00,  4.27it/s]
Cross Validation Time Series 54: 100%|██████████| 9/9 [00:04<00:00,  2.16it/s]
Cross Validation Time Series 47:  56%|█████▌    | 5/9 [00:03<00:02,  1.64it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 50: 100%|██████████| 9/9 [00:07<00:00,  1.15it/s]
Cross Validation Time Series 47:  67%|██████▋   | 6/9 [00:04<00:01,  2.01it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 47: 100%|██████████| 9/9 [00:04<00:00,  1.81it/s]
Cross Validation Time Series 52: 100%|██████████| 9/9 [00:14<00:00,  1.61s/it]
Cross Validation Time Series 51:  11%|█         | 1/9 [00:01<00:08,  1.04s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 46: 100%|██████████| 9/9 [00:06<00:00,  1.41it/s]
Cross Validation Time Series 32: 100%|██████████| 9/9 [00:13<00:00,  1.51s/it]
Cross Validation Time Series 55: 100%|██████████| 9/9 [00:02<00:00,  3.35it/s]
Cross Validation Time Series 54: 100%|██████████| 9/9 [00:14<00:00,  1.59s/it]
Cross Validation Time Series 53:  78%|███████▊  | 7/9 [00:02<00:00,  3.28it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 33:  33%|███▎      | 3/9 [00:01<00:02,  2.64it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 56:  11%|█         | 1/9 [00:01<00:09,  1.16s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 48: 100%|██████████| 9/9 [00:04<00:00,  1.99it/s]
Cross Validation Time Series 53: 100%|██████████| 9/9 [00:04<00:00,  1.86it/s]
Cross Validation Time Series 54:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 49:  33%|███▎      | 3/9 [00:00<00:01,  3.42it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 55: 100%|██████████| 9/9 [00:03<00:00,  2.51it/s]
Cross Validation Time Series 33:  78%|███████▊  | 7/9 [00:04<00:01,  1.40it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 33: 100%|██████████| 9/9 [00:05<00:00,  1.77it/s]
Cross Validation Time Series 49: 100%|██████████| 9/9 [00:02<00:00,  3.70it/s]
Cross Validation Time Series 51:  67%|██████▋   | 6/9 [00:08<00:03,  1.32s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 58:  78%|███████▊  | 7/9 [00:15<00:04,  2.29s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 51:  78%|███████▊  | 7/9 [00:08<00:02,  1.02s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 51: 100%|██████████| 9/9 [00:09<00:00,  1.04s/it]
Cross Validation Time Series 50: 100%|██████████| 9/9 [00:01<00:00,  5.93it/s]
Cross Validation Time Series 56: 100%|██████████| 9/9 [00:03<00:00,  2.96it/s]
Cross Validation Time Series 47: 100%|██████████| 9/9 [00:08<00:00,  1.04it/s]
Cross Validation Time Series 51: 100%|██████████| 9/9 [00:02<00:00,  4.08it/s]
Cross Validation Time Series 58: 100%|██████████| 9/9 [00:18<00:00,  2.03s/it]
Cross Validation Time Series 59:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 48:  44%|████▍     | 4/9 [00:01<00:01,  3.74it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 52:  11%|█         | 1/9 [00:00<00:03,  2.06it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 52: 100%|██████████| 9/9 [00:02<00:00,  3.11it/s]
Cross Validation Time Series 59:  33%|███▎      | 3/9 [00:00<00:01,  4.90it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 57: 100%|██████████| 9/9 [00:03<00:00,  2.91it/s]
Cross Validation Time Series 52:  22%|██▏       | 2/9 [00:01<00:04,  1.50it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 58:  11%|█         | 1/9 [00:01<00:12,  1.53s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 48: 100%|██████████| 9/9 [00:04<00:00,  2.12it/s]
Cross Validation Time Series 34: 100%|██████████| 9/9 [00:07<00:00,  1.15it/s]
Cross Validation Time Series 59: 100%|██████████| 9/9 [00:05<00:00,  1.71it/s]
Cross Validation Time Series 53: 100%|██████████| 9/9 [00:04<00:00,  1.85it/s]
Cross Validation Time Series 35: 100%|██████████| 9/9 [00:02<00:00,  3.03it/s]
Cross Validation Time Series 49: 100%|██████████| 9/9 [00:03<00:00,  2.87it/s]
Cross Validation Time Series 56: 100%|██████████| 9/9 [00:16<00:00,  1.86s/it]
Cross Validation Time Series 52: 100%|██████████| 9/9 [00:07<00:00,  1.19it/s]
Cross Validation Time Series 54: 100%|██████████| 9/9 [00:13<00:00,  1.48s/it]
Cross Validation Time Series 53:  11%|█         | 1/9 [00:00<00:01,  5.01it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 54: 100%|██████████| 9/9 [00:02<00:00,  3.49it/s]
Cross Validation Time Series 50:  33%|███▎      | 3/9 [00:01<00:02,  2.10it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 60: 100%|██████████| 9/9 [00:04<00:00,  2.12it/s]
Cross Validation Time Series 36: 100%|██████████| 9/9 [00:04<00:00,  1.95it/s]
Cross Validation Time Series 57: 100%|██████████| 9/9 [00:04<00:00,  1.84it/s]
Cross Validation Time Series 53: 100%|██████████| 9/9 [00:05<00:00,  1.79it/s]
Cross Validation Time Series 55: 100%|██████████| 9/9 [00:05<00:00,  1.52it/s]
Cross Validation Time Series 58: 100%|██████████| 9/9 [00:12<00:00,  1.39s/it]
Cross Validation Time Series 55: 100%|██████████| 9/9 [00:05<00:00,  1.55it/s]
Cross Validation Time Series 50: 100%|██████████| 9/9 [00:07<00:00,  1.16it/s]
Cross Validation Time Series 61: 100%|██████████| 9/9 [00:04<00:00,  1.82it/s]
Cross Validation Time Series 58: 100%|██████████| 9/9 [00:03<00:00,  2.79it/s]
Cross Validation Time Series 54: 100%|██████████| 9/9 [00:04<00:00,  1.90it/s]
Cross Validation Time Series 51: 100%|██████████| 9/9 [00:02<00:00,  3.10it/s]
Cross Validation Time Series 59:  56%|█████▌    | 5/9 [00:01<00:01,  2.86it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 52:  11%|█         | 1/9 [00:00<00:01,  7.89it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 52: 100%|██████████| 9/9 [00:04<00:00,  2.01it/s]
Cross Validation Time Series 59: 100%|██████████| 9/9 [00:06<00:00,  1.37it/s]
Cross Validation Time Series 55: 100%|██████████| 9/9 [00:05<00:00,  1.57it/s]
Cross Validation Time Series 56: 100%|██████████| 9/9 [00:09<00:00,  1.06s/it]
Cross Validation Time Series 62: 100%|██████████| 9/9 [00:09<00:00,  1.02s/it]
Cross Validation Time Series 37: 100%|██████████| 9/9 [00:12<00:00,  1.43s/it]
Cross Validation Time Series 56: 100%|██████████| 9/9 [00:11<00:00,  1.25s/it]
Cross Validation Time Series 63: 100%|██████████| 9/9 [00:01<00:00,  4.54it/s]
Cross Validation Time Series 53: 100%|██████████| 9/9 [00:06<00:00,  1.43it/s]
Cross Validation Time Series 57:  22%|██▏       | 2/9 [00:02<00:10,  1.55s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 56:  89%|████████▉ | 8/9 [00:06<00:00,  1.10it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 59: 100%|██████████| 9/9 [00:15<00:00,  1.78s/it]
Cross Validation Time Series 60:  67%|██████▋   | 6/9 [00:07<00:04,  1.44s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 56: 100%|██████████| 9/9 [00:07<00:00,  1.26it/s]
Cross Validation Time Series 64:  67%|██████▋   | 6/9 [00:04<00:01,  1.58it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 57:  56%|█████▌    | 5/9 [00:06<00:04,  1.17s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 64: 100%|██████████| 9/9 [00:05<00:00,  1.51it/s]
Cross Validation Time Series 54:  67%|██████▋   | 6/9 [00:03<00:02,  1.34it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 60: 100%|██████████| 9/9 [00:10<00:00,  1.20s/it]
Cross Validation Time Series 38: 100%|██████████| 9/9 [00:09<00:00,  1.05s/it]
Cross Validation Time Series 57: 100%|██████████| 9/9 [00:03<00:00,  2.52it/s]
Cross Validation Time Series 54: 100%|██████████| 9/9 [00:07<00:00,  1.26it/s]
Cross Validation Time Series 57: 100%|██████████| 9/9 [00:13<00:00,  1.48s/it]
Cross Validation Time Series 57: 100%|██████████| 9/9 [00:11<00:00,  1.27s/it]
Cross Validation Time Series 60: 100%|██████████| 9/9 [00:07<00:00,  1.26it/s]
Cross Validation Time Series 58:  22%|██▏       | 2/9 [00:00<00:02,  3.32it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 58:  33%|███▎      | 3/9 [00:01<00:02,  2.23it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 61:  56%|█████▌    | 5/9 [00:01<00:00,  4.32it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 58: 100%|██████████| 9/9 [00:04<00:00,  2.03it/s]
Cross Validation Time Series 39: 100%|██████████| 9/9 [00:04<00:00,  1.86it/s]
Cross Validation Time Series 61:  78%|███████▊  | 7/9 [00:01<00:00,  4.21it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 61:  89%|████████▉ | 8/9 [00:01<00:00,  3.79it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 61: 100%|██████████| 9/9 [00:02<00:00,  4.19it/s]
Cross Validation Time Series 40:  11%|█         | 1/9 [00:00<00:05,  1.42it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 58: 100%|██████████| 9/9 [00:04<00:00,  2.23it/s]
Cross Validation Time Series 59: 100%|██████████| 9/9 [00:02<00:00,  3.66it/s]
Cross Validation Time Series 55: 100%|██████████| 9/9 [00:05<00:00,  1.60it/s]
Cross Validation Time Series 58: 100%|██████████| 9/9 [00:05<00:00,  1.71it/s]
Cross Validation Time Series 62: 100%|██████████| 9/9 [00:05<00:00,  1.74it/s]
Cross Validation Time Series 59:  56%|█████▌    | 5/9 [00:03<00:02,  1.44it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 59:  78%|███████▊  | 7/9 [00:04<00:01,  1.77it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 40: 100%|██████████| 9/9 [00:07<00:00,  1.22it/s]
Cross Validation Time Series 59:  89%|████████▉ | 8/9 [00:05<00:00,  1.92it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 59: 100%|██████████| 9/9 [00:05<00:00,  1.56it/s]
Cross Validation Time Series 60: 100%|██████████| 9/9 [00:05<00:00,  1.56it/s]
Cross Validation Time Series 63: 100%|██████████| 9/9 [00:03<00:00,  2.68it/s]
Cross Validation Time Series 41: 100%|██████████| 9/9 [00:02<00:00,  3.08it/s]
Cross Validation Time Series 61: 100%|██████████| 9/9 [00:15<00:00,  1.74s/it]
Cross Validation Time Series 61:  89%|████████▉ | 8/9 [00:02<00:00,  2.75it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 65: 100%|██████████| 9/9 [00:17<00:00,  1.96s/it]
Cross Validation Time Series 59:  78%|███████▊  | 7/9 [00:07<00:01,  1.07it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 61: 100%|██████████| 9/9 [00:02<00:00,  3.07it/s]
Cross Validation Time Series 62:  33%|███▎      | 3/9 [00:00<00:01,  4.67it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 60: 100%|██████████| 9/9 [00:04<00:00,  2.18it/s]
Cross Validation Time Series 59:  89%|████████▉ | 8/9 [00:08<00:01,  1.08s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 62:  44%|████▍     | 4/9 [00:02<00:03,  1.29it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 61:  33%|███▎      | 3/9 [00:01<00:03,  1.67it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 59: 100%|██████████| 9/9 [00:11<00:00,  1.22s/it]
Cross Validation Time Series 62: 100%|██████████| 9/9 [00:04<00:00,  2.07it/s]
Cross Validation Time Series 56: 100%|██████████| 9/9 [00:13<00:00,  1.49s/it]
Cross Validation Time Series 61: 100%|██████████| 9/9 [00:03<00:00,  2.33it/s]
Cross Validation Time Series 62: 100%|██████████| 9/9 [00:05<00:00,  1.78it/s]
Cross Validation Time Series 63:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 64: 100%|██████████| 9/9 [00:07<00:00,  1.28it/s]
Cross Validation Time Series 57:  11%|█         | 1/9 [00:00<00:03,  2.41it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 60: 100%|██████████| 9/9 [00:04<00:00,  2.04it/s]
Cross Validation Time Series 57: 100%|██████████| 9/9 [00:03<00:00,  2.97it/s]
Cross Validation Time Series 62: 100%|██████████| 9/9 [00:02<00:00,  3.03it/s]
Cross Validation Time Series 63: 100%|██████████| 9/9 [00:06<00:00,  1.34it/s]
Cross Validation Time Series 42: 100%|██████████| 9/9 [00:13<00:00,  1.47s/it]
Cross Validation Time Series 58: 100%|██████████| 9/9 [00:04<00:00,  1.91it/s]
Cross Validation Time Series 65: 100%|██████████| 9/9 [00:08<00:00,  1.02it/s]
Cross Validation Time Series 66: 100%|██████████| 9/9 [00:15<00:00,  1.72s/it]
Cross Validation Time Series 63: 100%|██████████| 9/9 [00:13<00:00,  1.48s/it]
Cross Validation Time Series 66: 100%|██████████| 9/9 [00:03<00:00,  2.83it/s]
Cross Validation Time Series 43:  67%|██████▋   | 6/9 [00:04<00:02,  1.05it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 64:  11%|█         | 1/9 [00:01<00:12,  1.62s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 64: 100%|██████████| 9/9 [00:06<00:00,  1.29it/s]
Cross Validation Time Series 63:  78%|███████▊  | 7/9 [00:11<00:03,  1.73s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 67: 100%|██████████| 9/9 [00:04<00:00,  1.81it/s]
Cross Validation Time Series 43: 100%|██████████| 9/9 [00:07<00:00,  1.13it/s]
Cross Validation Time Series 67: 100%|██████████| 9/9 [00:03<00:00,  2.66it/s]
Cross Validation Time Series 59: 100%|██████████| 9/9 [00:09<00:00,  1.01s/it]
Cross Validation Time Series 61: 100%|██████████| 9/9 [00:13<00:00,  1.55s/it]
Cross Validation Time Series 63: 100%|██████████| 9/9 [00:14<00:00,  1.59s/it]
Cross Validation Time Series 68: 100%|██████████| 9/9 [00:02<00:00,  3.65it/s]
Cross Validation Time Series 65: 100%|██████████| 9/9 [00:05<00:00,  1.66it/s]
Cross Validation Time Series 44: 100%|██████████| 9/9 [00:07<00:00,  1.13it/s]
Cross Validation Time Series 64: 100%|██████████| 9/9 [00:11<00:00,  1.28s/it]
Cross Validation Time Series 60: 100%|██████████| 9/9 [00:06<00:00,  1.31it/s]
Cross Validation Time Series 61:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 66:  78%|███████▊  | 7/9 [00:04<00:01,  1.71it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 45:  44%|████▍     | 4/9 [00:00<00:00,  8.02it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 69: 100%|██████████| 9/9 [00:06<00:00,  1.45it/s]
Cross Validation Time Series 68: 100%|██████████| 9/9 [00:08<00:00,  1.05it/s]
Cross Validation Time Series 45: 100%|██████████| 9/9 [00:01<00:00,  6.55it/s]
Cross Validation Time Series 66: 100%|██████████| 9/9 [00:05<00:00,  1.57it/s]
Cross Validation Time Series 61: 100%|██████████| 9/9 [00:04<00:00,  2.04it/s]
Cross Validation Time Series 69: 100%|██████████| 9/9 [00:05<00:00,  1.56it/s]
Cross Validation Time Series 70:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 62:  33%|███▎      | 3/9 [00:02<00:04,  1.50it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 65: 100%|██████████| 9/9 [00:07<00:00,  1.26it/s]
Cross Validation Time Series 67: 100%|██████████| 9/9 [00:06<00:00,  1.42it/s]
Cross Validation Time Series 66:  22%|██▏       | 2/9 [00:00<00:02,  3.19it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 70: 100%|██████████| 9/9 [00:07<00:00,  1.20it/s]
Cross Validation Time Series 71:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 70: 100%|██████████| 9/9 [00:01<00:00,  4.80it/s]
Cross Validation Time Series 62: 100%|██████████| 9/9 [00:17<00:00,  1.95s/it]
Cross Validation Time Series 63:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 63:  22%|██▏       | 2/9 [00:00<00:02,  2.42it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 68: 100%|██████████| 9/9 [00:04<00:00,  2.21it/s]
Cross Validation Time Series 62:  89%|████████▉ | 8/9 [00:07<00:01,  1.42s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 71: 100%|██████████| 9/9 [00:04<00:00,  2.13it/s]
Cross Validation Time Series 62: 100%|██████████| 9/9 [00:08<00:00,  1.00it/s]
Cross Validation Time Series 63: 100%|██████████| 9/9 [00:02<00:00,  3.23it/s]
Cross Validation Time Series 66: 100%|██████████| 9/9 [00:06<00:00,  1.35it/s]
Cross Validation Time Series 69: 100%|██████████| 9/9 [00:02<00:00,  3.01it/s]
Cross Validation Time Series 64: 100%|██████████| 9/9 [00:21<00:00,  2.36s/it]
Cross Validation Time Series 71: 100%|██████████| 9/9 [00:07<00:00,  1.28it/s]
Cross Validation Time Series 72:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 46: 100%|██████████| 9/9 [00:14<00:00,  1.56s/it]
Cross Validation Time Series 64:  44%|████▍     | 4/9 [00:02<00:02,  1.92it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 70:  11%|█         | 1/9 [00:01<00:08,  1.08s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 72: 100%|██████████| 9/9 [00:03<00:00,  2.47it/s]
Cross Validation Time Series 63:  33%|███▎      | 3/9 [00:02<00:05,  1.04it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 72:  33%|███▎      | 3/9 [00:01<00:02,  2.62it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 70:  22%|██▏       | 2/9 [00:02<00:10,  1.49s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 65: 100%|██████████| 9/9 [00:05<00:00,  1.74it/s]
Cross Validation Time Series 47: 100%|██████████| 9/9 [00:05<00:00,  1.56it/s]
Cross Validation Time Series 72: 100%|██████████| 9/9 [00:05<00:00,  1.50it/s]
Cross Validation Time Series 73: 100%|██████████| 9/9 [00:06<00:00,  1.46it/s]
Cross Validation Time Series 63: 100%|██████████| 9/9 [00:09<00:00,  1.05s/it]
Cross Validation Time Series 64: 100%|██████████| 9/9 [00:09<00:00,  1.07s/it]
Cross Validation Time Series 73: 100%|██████████| 9/9 [00:03<00:00,  2.61it/s]
Cross Validation Time Series 48: 100%|██████████| 9/9 [00:03<00:00,  2.48it/s]
Cross Validation Time Series 64: 100%|██████████| 9/9 [00:05<00:00,  1.66it/s]
Cross Validation Time Series 70: 100%|██████████| 9/9 [00:14<00:00,  1.66s/it]
Cross Validation Time Series 49: 100%|██████████| 9/9 [00:05<00:00,  1.63it/s]
Cross Validation Time Series 65: 100%|██████████| 9/9 [00:02<00:00,  3.33it/s]
Cross Validation Time Series 67: 100%|██████████| 9/9 [00:17<00:00,  1.98s/it]
Cross Validation Time Series 66: 100%|██████████| 9/9 [00:11<00:00,  1.31s/it]
Cross Validation Time Series 74: 100%|██████████| 9/9 [00:11<00:00,  1.32s/it]
Cross Validation Time Series 65: 100%|██████████| 9/9 [00:10<00:00,  1.20s/it]
Cross Validation Time Series 74: 100%|██████████| 9/9 [00:12<00:00,  1.38s/it]
Cross Validation Time Series 68: 100%|██████████| 9/9 [00:07<00:00,  1.24it/s]
Cross Validation Time Series 50: 100%|██████████| 9/9 [00:10<00:00,  1.13s/it]
Cross Validation Time Series 75: 100%|██████████| 9/9 [00:04<00:00,  2.17it/s]
Cross Validation Time Series 71: 100%|██████████| 9/9 [00:11<00:00,  1.29s/it]
Cross Validation Time Series 72:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 69: 100%|██████████| 9/9 [00:02<00:00,  3.45it/s]
Cross Validation Time Series 66: 100%|██████████| 9/9 [00:13<00:00,  1.45s/it]
Cross Validation Time Series 76: 100%|██████████| 9/9 [00:04<00:00,  2.07it/s]
Cross Validation Time Series 72: 100%|██████████| 9/9 [00:04<00:00,  1.87it/s]
Cross Validation Time Series 73:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 67:  78%|███████▊  | 7/9 [00:15<00:04,  2.33s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 73:  22%|██▏       | 2/9 [00:01<00:03,  1.86it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 67: 100%|██████████| 9/9 [00:04<00:00,  1.80it/s]
Cross Validation Time Series 77: 100%|██████████| 9/9 [00:03<00:00,  2.55it/s]
Cross Validation Time Series 70:  67%|██████▋   | 6/9 [00:07<00:03,  1.23s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 66: 100%|██████████| 9/9 [00:15<00:00,  1.73s/it]
Cross Validation Time Series 68:  11%|█         | 1/9 [00:00<00:04,  1.86it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 78:  33%|███▎      | 3/9 [00:00<00:01,  5.05it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 73: 100%|██████████| 9/9 [00:03<00:00,  2.39it/s]
Cross Validation Time Series 78:  44%|████▍     | 4/9 [00:00<00:01,  4.74it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 67: 100%|██████████| 9/9 [00:18<00:00,  2.05s/it]
Cross Validation Time Series 67:  56%|█████▌    | 5/9 [00:01<00:01,  2.47it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 51: 100%|██████████| 9/9 [00:12<00:00,  1.34s/it]
Cross Validation Time Series 67:  78%|███████▊  | 7/9 [00:03<00:01,  1.54it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 78: 100%|██████████| 9/9 [00:04<00:00,  1.89it/s]
Cross Validation Time Series 79:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 67: 100%|██████████| 9/9 [00:04<00:00,  1.86it/s]
Cross Validation Time Series 74: 100%|██████████| 9/9 [00:04<00:00,  1.89it/s]
Cross Validation Time Series 68:  67%|██████▋   | 6/9 [00:04<00:01,  1.68it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 70: 100%|██████████| 9/9 [00:13<00:00,  1.49s/it]
Cross Validation Time Series 68:  78%|███████▊  | 7/9 [00:04<00:01,  1.99it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 52:  78%|███████▊  | 7/9 [00:02<00:00,  2.77it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 68: 100%|██████████| 9/9 [00:05<00:00,  1.64it/s]
Cross Validation Time Series 52: 100%|██████████| 9/9 [00:03<00:00,  2.61it/s]
Cross Validation Time Series 68: 100%|██████████| 9/9 [00:07<00:00,  1.28it/s]
Cross Validation Time Series 75: 100%|██████████| 9/9 [00:22<00:00,  2.49s/it]
Cross Validation Time Series 68: 100%|██████████| 9/9 [00:01<00:00,  4.56it/s]
Cross Validation Time Series 76:  11%|█         | 1/9 [00:00<00:04,  2.00it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 76:  22%|██▏       | 2/9 [00:00<00:03,  2.19it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 75: 100%|██████████| 9/9 [00:03<00:00,  2.29it/s]
Cross Validation Time Series 79: 100%|██████████| 9/9 [00:05<00:00,  1.53it/s]
Cross Validation Time Series 71: 100%|██████████| 9/9 [00:06<00:00,  1.50it/s]
Cross Validation Time Series 69: 100%|██████████| 9/9 [00:06<00:00,  1.42it/s]
Cross Validation Time Series 69: 100%|██████████| 9/9 [00:06<00:00,  1.35it/s]
Cross Validation Time Series 70:  11%|█         | 1/9 [00:00<00:00,  8.49it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 69:  56%|█████▌    | 5/9 [00:06<00:05,  1.40s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 80: 100%|██████████| 9/9 [00:03<00:00,  2.69it/s]
Cross Validation Time Series 70:  67%|██████▋   | 6/9 [00:01<00:00,  5.66it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 70:  44%|████▍     | 4/9 [00:01<00:02,  2.46it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 70: 100%|██████████| 9/9 [00:01<00:00,  5.28it/s]
Cross Validation Time Series 70:  56%|█████▌    | 5/9 [00:02<00:01,  2.35it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 81: 100%|██████████| 9/9 [00:03<00:00,  2.63it/s]
Cross Validation Time Series 70: 100%|██████████| 9/9 [00:05<00:00,  1.60it/s]
Cross Validation Time Series 69: 100%|██████████| 9/9 [00:12<00:00,  1.44s/it]
Cross Validation Time Series 72:  67%|██████▋   | 6/9 [00:08<00:04,  1.54s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 70:  33%|███▎      | 3/9 [00:00<00:01,  5.30it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 71:  89%|████████▉ | 8/9 [00:05<00:00,  1.56it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 82: 100%|██████████| 9/9 [00:03<00:00,  2.48it/s]
Cross Validation Time Series 53: 100%|██████████| 9/9 [00:14<00:00,  1.62s/it]
Cross Validation Time Series 71:  89%|████████▉ | 8/9 [00:02<00:00,  2.97it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 76: 100%|██████████| 9/9 [00:12<00:00,  1.37s/it]
Cross Validation Time Series 71: 100%|██████████| 9/9 [00:02<00:00,  3.16it/s]
Cross Validation Time Series 71: 100%|██████████| 9/9 [00:06<00:00,  1.31it/s]
Cross Validation Time Series 77:  11%|█         | 1/9 [00:00<00:03,  2.60it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 72:  89%|████████▉ | 8/9 [00:10<00:01,  1.38s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 70: 100%|██████████| 9/9 [00:03<00:00,  2.41it/s]
Cross Validation Time Series 76: 100%|██████████| 9/9 [00:16<00:00,  1.87s/it]
Cross Validation Time Series 77:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 54:  22%|██▏       | 2/9 [00:03<00:12,  1.72s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 71:  11%|█         | 1/9 [00:01<00:11,  1.47s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 72: 100%|██████████| 9/9 [00:14<00:00,  1.61s/it]
Cross Validation Time Series 72: 100%|██████████| 9/9 [00:05<00:00,  1.62it/s]
Cross Validation Time Series 83: 100%|██████████| 9/9 [00:06<00:00,  1.31it/s]
Cross Validation Time Series 54:  56%|█████▌    | 5/9 [00:07<00:05,  1.42s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 77: 100%|██████████| 9/9 [00:07<00:00,  1.21it/s]
Cross Validation Time Series 73:  33%|███▎      | 3/9 [00:02<00:06,  1.01s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 73:  22%|██▏       | 2/9 [00:02<00:07,  1.04s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 84: 100%|██████████| 9/9 [00:05<00:00,  1.79it/s]
Cross Validation Time Series 77: 100%|██████████| 9/9 [00:09<00:00,  1.09s/it]
Cross Validation Time Series 73: 100%|██████████| 9/9 [00:09<00:00,  1.08s/it]
Cross Validation Time Series 72: 100%|██████████| 9/9 [00:14<00:00,  1.63s/it]
Cross Validation Time Series 71: 100%|██████████| 9/9 [00:15<00:00,  1.70s/it]
Cross Validation Time Series 54: 100%|██████████| 9/9 [00:18<00:00,  2.03s/it]
Cross Validation Time Series 78:  78%|███████▊  | 7/9 [00:06<00:02,  1.27s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 73: 100%|██████████| 9/9 [00:05<00:00,  1.74it/s]
Cross Validation Time Series 78: 100%|██████████| 9/9 [00:08<00:00,  1.05it/s]
Cross Validation Time Series 85: 100%|██████████| 9/9 [00:09<00:00,  1.04s/it]
Cross Validation Time Series 55: 100%|██████████| 9/9 [00:02<00:00,  3.39it/s]
Cross Validation Time Series 74: 100%|██████████| 9/9 [00:06<00:00,  1.42it/s]
Cross Validation Time Series 73: 100%|██████████| 9/9 [00:17<00:00,  1.98s/it]
Cross Validation Time Series 74:  11%|█         | 1/9 [00:00<00:03,  2.46it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 56:  78%|███████▊  | 7/9 [00:04<00:00,  2.13it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 86:  22%|██▏       | 2/9 [00:04<00:14,  2.13s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 56: 100%|██████████| 9/9 [00:05<00:00,  1.77it/s]
Cross Validation Time Series 78: 100%|██████████| 9/9 [00:19<00:00,  2.14s/it]
Cross Validation Time Series 74: 100%|██████████| 9/9 [00:03<00:00,  2.72it/s]
Cross Validation Time Series 57:  56%|█████▌    | 5/9 [00:01<00:01,  3.01it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 79:  78%|███████▊  | 7/9 [00:07<00:01,  1.11it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 57: 100%|██████████| 9/9 [00:04<00:00,  1.85it/s]
Cross Validation Time Series 79: 100%|██████████| 9/9 [00:10<00:00,  1.15s/it]
Cross Validation Time Series 86:  56%|█████▌    | 5/9 [00:10<00:08,  2.14s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 72:  67%|██████▋   | 6/9 [00:14<00:08,  2.81s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 79: 100%|██████████| 9/9 [00:05<00:00,  1.80it/s]
Cross Validation Time Series 80:  22%|██▏       | 2/9 [00:00<00:00,  7.07it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 80:  33%|███▎      | 3/9 [00:01<00:02,  2.15it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 58:  67%|██████▋   | 6/9 [00:01<00:00,  3.01it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 58: 100%|██████████| 9/9 [00:02<00:00,  3.14it/s]
Cross Validation Time Series 80: 100%|██████████| 9/9 [00:01<00:00,  5.19it/s]
Cross Validation Time Series 81:  22%|██▏       | 2/9 [00:00<00:01,  6.94it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 74: 100%|██████████| 9/9 [00:14<00:00,  1.58s/it]
Cross Validation Time Series 59:  11%|█         | 1/9 [00:00<00:06,  1.15it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 81:  56%|█████▌    | 5/9 [00:00<00:00,  4.42it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 80: 100%|██████████| 9/9 [00:06<00:00,  1.49it/s]
Cross Validation Time Series 81: 100%|██████████| 9/9 [00:03<00:00,  2.25it/s]
Cross Validation Time Series 86: 100%|██████████| 9/9 [00:18<00:00,  2.04s/it]
Cross Validation Time Series 72: 100%|██████████| 9/9 [00:21<00:00,  2.44s/it]
Cross Validation Time Series 82: 100%|██████████| 9/9 [00:03<00:00,  2.83it/s]
Cross Validation Time Series 81: 100%|██████████| 9/9 [00:04<00:00,  2.17it/s]
Cross Validation Time Series 75: 100%|██████████| 9/9 [00:21<00:00,  2.38s/it]
Cross Validation Time Series 76:  22%|██▏       | 2/9 [00:01<00:04,  1.54it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 59: 100%|██████████| 9/9 [00:10<00:00,  1.22s/it]
Cross Validation Time Series 76:  44%|████▍     | 4/9 [00:02<00:03,  1.58it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 75:  89%|████████▉ | 8/9 [00:18<00:02,  2.54s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 75: 100%|██████████| 9/9 [00:11<00:00,  1.32s/it]
Cross Validation Time Series 76: 100%|██████████| 9/9 [00:04<00:00,  2.00it/s]
Cross Validation Time Series 82:  67%|██████▋   | 6/9 [00:05<00:02,  1.07it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 87:  89%|████████▉ | 8/9 [00:08<00:00,  1.33it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 75: 100%|██████████| 9/9 [00:20<00:00,  2.25s/it]
Cross Validation Time Series 73: 100%|██████████| 9/9 [00:07<00:00,  1.14it/s]
Cross Validation Time Series 87: 100%|██████████| 9/9 [00:08<00:00,  1.04it/s]
Cross Validation Time Series 82: 100%|██████████| 9/9 [00:09<00:00,  1.07s/it]
Cross Validation Time Series 76: 100%|██████████| 9/9 [00:05<00:00,  1.64it/s]
Cross Validation Time Series 77: 100%|██████████| 9/9 [00:06<00:00,  1.40it/s]
Cross Validation Time Series 83: 100%|██████████| 9/9 [00:04<00:00,  1.93it/s]
Cross Validation Time Series 74: 100%|██████████| 9/9 [00:09<00:00,  1.01s/it]
Cross Validation Time Series 60: 100%|██████████| 9/9 [00:15<00:00,  1.78s/it]
Cross Validation Time Series 76: 100%|██████████| 9/9 [00:13<00:00,  1.54s/it]
Cross Validation Time Series 84: 100%|██████████| 9/9 [00:06<00:00,  1.35it/s]
Cross Validation Time Series 83: 100%|██████████| 9/9 [00:21<00:00,  2.40s/it]
Cross Validation Time Series 77:  78%|███████▊  | 7/9 [00:10<00:03,  1.65s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 75: 100%|██████████| 9/9 [00:06<00:00,  1.42it/s]
Cross Validation Time Series 76:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 88: 100%|██████████| 9/9 [00:16<00:00,  1.81s/it]
Cross Validation Time Series 84: 100%|██████████| 9/9 [00:04<00:00,  2.01it/s]
Cross Validation Time Series 77: 100%|██████████| 9/9 [00:16<00:00,  1.81s/it]
Cross Validation Time Series 78:  11%|█         | 1/9 [00:00<00:01,  6.36it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 78:  44%|████▍     | 4/9 [00:00<00:00,  6.62it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 76:  33%|███▎      | 3/9 [00:06<00:11,  1.97s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 78: 100%|██████████| 9/9 [00:01<00:00,  4.90it/s]
Cross Validation Time Series 61: 100%|██████████| 9/9 [00:09<00:00,  1.10s/it]
Cross Validation Time Series 78: 100%|██████████| 9/9 [00:19<00:00,  2.20s/it]
Cross Validation Time Series 77: 100%|██████████| 9/9 [00:12<00:00,  1.40s/it]
Cross Validation Time Series 79: 100%|██████████| 9/9 [00:02<00:00,  3.25it/s]
Cross Validation Time Series 78: 100%|██████████| 9/9 [00:02<00:00,  3.04it/s]
Cross Validation Time Series 80:  11%|█         | 1/9 [00:01<00:10,  1.27s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 85: 100%|██████████| 9/9 [00:15<00:00,  1.72s/it]
Cross Validation Time Series 89:  67%|██████▋   | 6/9 [00:14<00:06,  2.07s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 76: 100%|██████████| 9/9 [00:16<00:00,  1.79s/it]
Cross Validation Time Series 77:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 62:  56%|█████▌    | 5/9 [00:09<00:07,  1.92s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 86:  33%|███▎      | 3/9 [00:02<00:04,  1.20it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 79:  56%|█████▌    | 5/9 [00:03<00:03,  1.14it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 79: 100%|██████████| 9/9 [00:05<00:00,  1.65it/s]
Cross Validation Time Series 86: 100%|██████████| 9/9 [00:04<00:00,  1.96it/s]
Cross Validation Time Series 89: 100%|██████████| 9/9 [00:20<00:00,  2.27s/it]
Cross Validation Time Series 85: 100%|██████████| 9/9 [00:18<00:00,  2.01s/it]
Cross Validation Time Series 80:  33%|███▎      | 3/9 [00:02<00:05,  1.02it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 80:  56%|█████▌    | 5/9 [00:09<00:06,  1.73s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 62: 100%|██████████| 9/9 [00:15<00:00,  1.69s/it]
Cross Validation Time Series 87:  44%|████▍     | 4/9 [00:03<00:04,  1.02it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 86: 100%|██████████| 9/9 [00:04<00:00,  2.03it/s]
Cross Validation Time Series 79: 100%|██████████| 9/9 [00:19<00:00,  2.21s/it]
Cross Validation Time Series 90: 100%|██████████| 9/9 [00:07<00:00,  1.24it/s]
Cross Validation Time Series 91:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 80:  22%|██▏       | 2/9 [00:02<00:07,  1.07s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 77: 100%|██████████| 9/9 [00:13<00:00,  1.53s/it]
Cross Validation Time Series 80: 100%|██████████| 9/9 [00:18<00:00,  2.09s/it]
Cross Validation Time Series 91: 100%|██████████| 9/9 [00:04<00:00,  2.02it/s]
Cross Validation Time Series 80: 100%|██████████| 9/9 [00:14<00:00,  1.64s/it]
Cross Validation Time Series 87: 100%|██████████| 9/9 [00:14<00:00,  1.67s/it]
Cross Validation Time Series 78:  89%|████████▉ | 8/9 [00:04<00:00,  2.18it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 87: 100%|██████████| 9/9 [00:08<00:00,  1.08it/s]
Cross Validation Time Series 88:  44%|████▍     | 4/9 [00:00<00:00,  7.97it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 88:  56%|█████▌    | 5/9 [00:00<00:00,  6.50it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 63: 100%|██████████| 9/9 [00:12<00:00,  1.41s/it]
Cross Validation Time Series 81:  33%|███▎      | 3/9 [00:01<00:02,  2.10it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 88: 100%|██████████| 9/9 [00:01<00:00,  6.52it/s]
Cross Validation Time Series 78: 100%|██████████| 9/9 [00:06<00:00,  1.50it/s]
Cross Validation Time Series 81:  44%|████▍     | 4/9 [00:01<00:02,  2.29it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 92:  56%|█████▌    | 5/9 [00:02<00:02,  1.95it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 81: 100%|██████████| 9/9 [00:03<00:00,  2.63it/s]
Cross Validation Time Series 64: 100%|██████████| 9/9 [00:02<00:00,  3.87it/s]
Cross Validation Time Series 92: 100%|██████████| 9/9 [00:04<00:00,  1.94it/s]
Cross Validation Time Series 93:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 82:  33%|███▎      | 3/9 [00:00<00:01,  5.75it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 89: 100%|██████████| 9/9 [00:03<00:00,  2.98it/s]
Cross Validation Time Series 90:  11%|█         | 1/9 [00:00<00:05,  1.38it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 80:  89%|████████▉ | 8/9 [00:13<00:01,  1.89s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 65:  33%|███▎      | 3/9 [00:02<00:05,  1.03it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 90:  22%|██▏       | 2/9 [00:01<00:06,  1.10it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 65:  44%|████▍     | 4/9 [00:03<00:04,  1.18it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 80: 100%|██████████| 9/9 [00:15<00:00,  1.70s/it]
Cross Validation Time Series 82: 100%|██████████| 9/9 [00:04<00:00,  1.84it/s]
Cross Validation Time Series 88: 100%|██████████| 9/9 [00:07<00:00,  1.19it/s]
Cross Validation Time Series 65: 100%|██████████| 9/9 [00:05<00:00,  1.77it/s]
Cross Validation Time Series 90: 100%|██████████| 9/9 [00:04<00:00,  1.99it/s]
Cross Validation Time Series 66: 100%|██████████| 9/9 [00:05<00:00,  1.60it/s]
Cross Validation Time Series 91: 100%|██████████| 9/9 [00:05<00:00,  1.71it/s]
Cross Validation Time Series 89: 100%|██████████| 9/9 [00:06<00:00,  1.42it/s]
Cross Validation Time Series 81: 100%|██████████| 9/9 [00:07<00:00,  1.20it/s]
Cross Validation Time Series 67: 100%|██████████| 9/9 [00:02<00:00,  3.52it/s]
Cross Validation Time Series 79: 100%|██████████| 9/9 [00:15<00:00,  1.72s/it]
Cross Validation Time Series 90: 100%|██████████| 9/9 [00:02<00:00,  3.17it/s]
Cross Validation Time Series 68:  33%|███▎      | 3/9 [00:00<00:01,  3.64it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 80:  11%|█         | 1/9 [00:01<00:08,  1.09s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 83: 100%|██████████| 9/9 [00:12<00:00,  1.40s/it]
Cross Validation Time Series 81: 100%|██████████| 9/9 [00:23<00:00,  2.62s/it]
Cross Validation Time Series 68: 100%|██████████| 9/9 [00:04<00:00,  1.91it/s]
Cross Validation Time Series 91: 100%|██████████| 9/9 [00:04<00:00,  1.91it/s]
Cross Validation Time Series 92: 100%|██████████| 9/9 [00:07<00:00,  1.13it/s]
Cross Validation Time Series 82: 100%|██████████| 9/9 [00:07<00:00,  1.23it/s]
Cross Validation Time Series 92: 100%|██████████| 9/9 [00:02<00:00,  3.52it/s]
Cross Validation Time Series 69: 100%|██████████| 9/9 [00:03<00:00,  2.86it/s]
Cross Validation Time Series 80: 100%|██████████| 9/9 [00:07<00:00,  1.19it/s]
Cross Validation Time Series 70:  22%|██▏       | 2/9 [00:02<00:08,  1.21s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 83:  89%|████████▉ | 8/9 [00:04<00:00,  1.20it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 70:  44%|████▍     | 4/9 [00:03<00:04,  1.12it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 83: 100%|██████████| 9/9 [00:05<00:00,  1.51it/s]
Cross Validation Time Series 93: 100%|██████████| 9/9 [00:24<00:00,  2.77s/it]
Cross Validation Time Series 81:  56%|█████▌    | 5/9 [00:03<00:02,  1.48it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 70:  56%|█████▌    | 5/9 [00:04<00:03,  1.21it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 84:  22%|██▏       | 2/9 [00:00<00:01,  3.60it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 84:  33%|███▎      | 3/9 [00:00<00:01,  3.57it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 70:  67%|██████▋   | 6/9 [00:04<00:02,  1.38it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 81: 100%|██████████| 9/9 [00:05<00:00,  1.71it/s]
Cross Validation Time Series 82:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 94: 100%|██████████| 9/9 [00:02<00:00,  3.81it/s]
Cross Validation Time Series 70: 100%|██████████| 9/9 [00:08<00:00,  1.04it/s]
Cross Validation Time Series 84: 100%|██████████| 9/9 [00:04<00:00,  1.81it/s]
Cross Validation Time Series 71:  11%|█         | 1/9 [00:00<00:03,  2.51it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 82:  67%|██████▋   | 6/9 [00:04<00:02,  1.32it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 82: 100%|██████████| 9/9 [00:05<00:00,  1.57it/s]
Cross Validation Time Series 93: 100%|██████████| 9/9 [00:11<00:00,  1.26s/it]
Cross Validation Time Series 95: 100%|██████████| 9/9 [00:05<00:00,  1.72it/s]
Cross Validation Time Series 71: 100%|██████████| 9/9 [00:03<00:00,  2.92it/s]
Cross Validation Time Series 85:  22%|██▏       | 2/9 [00:03<00:10,  1.51s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 82: 100%|██████████| 9/9 [00:15<00:00,  1.78s/it]
Cross Validation Time Series 83:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 94: 100%|██████████| 9/9 [00:04<00:00,  2.09it/s]
Cross Validation Time Series 93: 100%|██████████| 9/9 [00:18<00:00,  2.02s/it]
Cross Validation Time Series 96: 100%|██████████| 9/9 [00:06<00:00,  1.49it/s]
Cross Validation Time Series 84: 100%|██████████| 9/9 [00:21<00:00,  2.40s/it]
Cross Validation Time Series 72:  67%|██████▋   | 6/9 [00:06<00:02,  1.09it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 83: 100%|██████████| 9/9 [00:07<00:00,  1.27it/s]
Cross Validation Time Series 97:  44%|████▍     | 4/9 [00:00<00:00,  7.82it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 84:  11%|█         | 1/9 [00:00<00:01,  5.42it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 95:  89%|████████▉ | 8/9 [00:03<00:00,  2.77it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 85:  56%|█████▌    | 5/9 [00:01<00:00,  4.55it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 84:  33%|███▎      | 3/9 [00:00<00:01,  4.04it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 95: 100%|██████████| 9/9 [00:03<00:00,  2.70it/s]
Cross Validation Time Series 96:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 97: 100%|██████████| 9/9 [00:02<00:00,  3.86it/s]
Cross Validation Time Series 83: 100%|██████████| 9/9 [00:07<00:00,  1.17it/s]
Cross Validation Time Series 85:  78%|███████▊  | 7/9 [00:02<00:01,  1.79it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 85: 100%|██████████| 9/9 [00:04<00:00,  1.96it/s]
Cross Validation Time Series 84: 100%|██████████| 9/9 [00:04<00:00,  1.92it/s]
Cross Validation Time Series 72: 100%|██████████| 9/9 [00:12<00:00,  1.34s/it]
Cross Validation Time Series 85: 100%|██████████| 9/9 [00:15<00:00,  1.76s/it]
Cross Validation Time Series 98: 100%|██████████| 9/9 [00:04<00:00,  1.84it/s]
Cross Validation Time Series 85: 100%|██████████| 9/9 [00:03<00:00,  2.51it/s]
Cross Validation Time Series 73: 100%|██████████| 9/9 [00:03<00:00,  2.87it/s]
Cross Validation Time Series 84:  89%|████████▉ | 8/9 [00:06<00:00,  1.43it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 74:  11%|█         | 1/9 [00:01<00:08,  1.05s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 84: 100%|██████████| 9/9 [00:09<00:00,  1.04s/it]
Cross Validation Time Series 86:  67%|██████▋   | 6/9 [00:07<00:04,  1.47s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 86:  78%|███████▊  | 7/9 [00:06<00:02,  1.13s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 94:  67%|██████▋   | 6/9 [00:15<00:07,  2.61s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 86: 100%|██████████| 9/9 [00:05<00:00,  1.68it/s]
Cross Validation Time Series 99: 100%|██████████| 9/9 [00:07<00:00,  1.28it/s]
Cross Validation Time Series 86:  89%|████████▉ | 8/9 [00:09<00:01,  1.27s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 74:  78%|███████▊  | 7/9 [00:05<00:01,  1.59it/s]]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 86: 100%|██████████| 9/9 [00:07<00:00,  1.16it/s]]
Cross Validation Time Series 86: 100%|██████████| 9/9 [00:10<00:00,  1.17s/it]]
Cross Validation Time Series 74: 100%|██████████| 9/9 [00:06<00:00,  1.42it/s]]
Cross Validation Time Series 100: 100%|██████████| 9/9 [00:03<00:00,  2.46it/s]
Cross Validation Time Series 96: 100%|██████████| 9/9 [00:18<00:00,  2.06s/it]]
Cross Validation Time Series 94: 100%|██████████| 9/9 [00:21<00:00,  2.44s/it]]
Cross Validation Time Series 87: 100%|██████████| 9/9 [00:05<00:00,  1.70it/s]
Cross Validation Time Series 87: 100%|██████████| 9/9 [00:06<00:00,  1.40it/s]
Cross Validation Time Series 101:  33%|███▎      | 3/9 [00:02<00:04,  1.23it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 75: 100%|██████████| 9/9 [00:05<00:00,  1.63it/s]
Cross Validation Time Series 88:  33%|███▎      | 3/9 [00:01<00:02,  2.70it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 88:  22%|██▏       | 2/9 [00:00<00:03,  2.23it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 95: 100%|██████████| 9/9 [00:02<00:00,  3.67it/s]]
Cross Validation Time Series 88: 100%|██████████| 9/9 [00:03<00:00,  2.65it/s]]
Cross Validation Time Series 85: 100%|██████████| 9/9 [00:14<00:00,  1.63s/it]]
Cross Validation Time Series 101: 100%|██████████| 9/9 [00:08<00:00,  1.04it/s]
Cross Validation Time Series 97:  89%|████████▉ | 8/9 [00:06<00:01,  1.04s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 76: 100%|██████████| 9/9 [00:05<00:00,  1.55it/s]
Cross Validation Time Series 102:  11%|█         | 1/9 [00:00<00:03,  2.12it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 88: 100%|██████████| 9/9 [00:06<00:00,  1.39it/s]
Cross Validation Time Series 97: 100%|██████████| 9/9 [00:07<00:00,  1.18it/s]
Cross Validation Time Series 87: 100%|██████████| 9/9 [00:12<00:00,  1.43s/it]]
Cross Validation Time Series 96: 100%|██████████| 9/9 [00:05<00:00,  1.60it/s]
Cross Validation Time Series 86:  56%|█████▌    | 5/9 [00:02<00:01,  2.66it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 86:  89%|████████▉ | 8/9 [00:02<00:00,  3.15it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 77: 100%|██████████| 9/9 [00:02<00:00,  3.60it/s]
Cross Validation Time Series 86: 100%|██████████| 9/9 [00:03<00:00,  2.51it/s]]
Cross Validation Time Series 89:  67%|██████▋   | 6/9 [00:03<00:01,  1.57it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 102: 100%|██████████| 9/9 [00:04<00:00,  1.96it/s]
Cross Validation Time Series 103:   0%|          | 0/9 [00:00<?, ?it/s]06it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 89: 100%|██████████| 9/9 [00:06<00:00,  1.45it/s]]
Cross Validation Time Series 97: 100%|██████████| 9/9 [00:06<00:00,  1.39it/s]]
Cross Validation Time Series 78: 100%|██████████| 9/9 [00:05<00:00,  1.66it/s]]
Cross Validation Time Series 103: 100%|██████████| 9/9 [00:03<00:00,  2.32it/s]
Cross Validation Time Series 90:  67%|██████▋   | 6/9 [00:02<00:01,  2.96it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 87:  89%|████████▉ | 8/9 [00:05<00:00,  2.05it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 87: 100%|██████████| 9/9 [00:06<00:00,  1.42it/s]]
Cross Validation Time Series 90: 100%|██████████| 9/9 [00:04<00:00,  1.98it/s]]
Cross Validation Time Series 79: 100%|██████████| 9/9 [00:04<00:00,  2.06it/s]]
Cross Validation Time Series 80:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 80:  11%|█         | 1/9 [00:00<00:02,  3.04it/s]]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 104: 100%|██████████| 9/9 [00:04<00:00,  1.80it/s]
Cross Validation Time Series 105:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 88: 100%|██████████| 9/9 [00:12<00:00,  1.34s/it]
Cross Validation Time Series 88:  11%|█         | 1/9 [00:03<00:31,  3.95s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 89:  11%|█         | 1/9 [00:00<00:02,  3.35it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 98:  56%|█████▌    | 5/9 [00:13<00:10,  2.73s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 98: 100%|██████████| 9/9 [00:06<00:00,  1.32it/s]]
Cross Validation Time Series 89:  67%|██████▋   | 6/9 [00:01<00:00,  3.71it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 89:  78%|███████▊  | 7/9 [00:01<00:00,  3.71it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 91: 100%|██████████| 9/9 [00:04<00:00,  2.04it/s]
Cross Validation Time Series 89: 100%|██████████| 9/9 [00:18<00:00,  2.07s/it]]
Cross Validation Time Series 89: 100%|██████████| 9/9 [00:02<00:00,  3.71it/s]
Cross Validation Time Series 80: 100%|██████████| 9/9 [00:03<00:00,  2.57it/s]
Cross Validation Time Series 105:  78%|███████▊  | 7/9 [00:02<00:00,  2.49it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 99:  11%|█         | 1/9 [00:01<00:12,  1.52s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 90:  33%|███▎      | 3/9 [00:00<00:01,  3.64it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 105: 100%|██████████| 9/9 [00:03<00:00,  2.52it/s]
Cross Validation Time Series 81: 100%|██████████| 9/9 [00:01<00:00,  5.08it/s]]
Cross Validation Time Series 82:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 92: 100%|██████████| 9/9 [00:02<00:00,  3.13it/s]]
Cross Validation Time Series 90: 100%|██████████| 9/9 [00:02<00:00,  3.19it/s]
Cross Validation Time Series 82:  22%|██▏       | 2/9 [00:01<00:05,  1.27it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 82:  56%|█████▌    | 5/9 [00:03<00:02,  1.60it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 106:  78%|███████▊  | 7/9 [00:04<00:01,  1.40it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 98: 100%|██████████| 9/9 [00:21<00:00,  2.41s/it]]
Cross Validation Time Series 106: 100%|██████████| 9/9 [00:05<00:00,  1.54it/s]
Cross Validation Time Series 82: 100%|██████████| 9/9 [00:05<00:00,  1.77it/s]
Cross Validation Time Series 93: 100%|██████████| 9/9 [00:05<00:00,  1.54it/s]
Cross Validation Time Series 91: 100%|██████████| 9/9 [00:05<00:00,  1.54it/s]
Cross Validation Time Series 83: 100%|██████████| 9/9 [00:02<00:00,  4.06it/s]
Cross Validation Time Series 84:  11%|█         | 1/9 [00:00<00:00,  9.83it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 90: 100%|██████████| 9/9 [00:10<00:00,  1.18s/it]
Cross Validation Time Series 94:  56%|█████▌    | 5/9 [00:02<00:02,  1.71it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 84:  44%|████▍     | 4/9 [00:01<00:02,  1.85it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 84: 100%|██████████| 9/9 [00:04<00:00,  2.17it/s]
Cross Validation Time Series 94: 100%|██████████| 9/9 [00:05<00:00,  1.74it/s]
Cross Validation Time Series 88: 100%|██████████| 9/9 [00:21<00:00,  2.39s/it]
Cross Validation Time Series 99: 100%|██████████| 9/9 [00:16<00:00,  1.84s/it]
Cross Validation Time Series 95:  67%|██████▋   | 6/9 [00:02<00:01,  2.94it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 100:  11%|█         | 1/9 [00:00<00:02,  3.28it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 85: 100%|██████████| 9/9 [00:02<00:00,  3.21it/s]]
Cross Validation Time Series 89:  11%|█         | 1/9 [00:00<00:07,  1.04it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 100:  44%|████▍     | 4/9 [00:01<00:01,  3.04it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 95: 100%|██████████| 9/9 [00:03<00:00,  2.60it/s]
Cross Validation Time Series 96:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 89:  33%|███▎      | 3/9 [00:01<00:03,  1.94it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 92: 100%|██████████| 9/9 [00:09<00:00,  1.01s/it]]
Cross Validation Time Series 86:  67%|██████▋   | 6/9 [00:01<00:00,  3.95it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 99: 100%|██████████| 9/9 [00:11<00:00,  1.25s/it]]
Cross Validation Time Series 100:  89%|████████▉ | 8/9 [00:02<00:00,  3.00it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 86:  89%|████████▉ | 8/9 [00:02<00:00,  3.75it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 100: 100%|██████████| 9/9 [00:02<00:00,  3.11it/s]
Cross Validation Time Series 86: 100%|██████████| 9/9 [00:02<00:00,  3.25it/s]]
Cross Validation Time Series 96: 100%|██████████| 9/9 [00:03<00:00,  2.66it/s]]
Cross Validation Time Series 93: 100%|██████████| 9/9 [00:04<00:00,  1.95it/s]]
Cross Validation Time Series 89: 100%|██████████| 9/9 [00:07<00:00,  1.20it/s]]
Cross Validation Time Series 100: 100%|██████████| 9/9 [00:05<00:00,  1.66it/s]
Cross Validation Time Series 101: 100%|██████████| 9/9 [00:05<00:00,  1.69it/s]
Cross Validation Time Series 87: 100%|██████████| 9/9 [00:04<00:00,  1.80it/s]
Cross Validation Time Series 91: 100%|██████████| 9/9 [00:13<00:00,  1.49s/it]]
Cross Validation Time Series 97: 100%|██████████| 9/9 [00:04<00:00,  1.94it/s]]
Cross Validation Time Series 88: 100%|██████████| 9/9 [00:02<00:00,  4.18it/s]]
Cross Validation Time Series 90: 100%|██████████| 9/9 [00:03<00:00,  2.77it/s]
Cross Validation Time Series 98:  56%|█████▌    | 5/9 [00:01<00:01,  3.91it/s]]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 98:  67%|██████▋   | 6/9 [00:01<00:00,  3.71it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 101: 100%|██████████| 9/9 [00:03<00:00,  2.52it/s]
Cross Validation Time Series 91:  33%|███▎      | 3/9 [00:00<00:02,  3.00it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 102:  22%|██▏       | 2/9 [00:01<00:03,  1.86it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 91:  44%|████▍     | 4/9 [00:02<00:03,  1.44it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 89:  56%|█████▌    | 5/9 [00:02<00:03,  1.29it/s]]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 98: 100%|██████████| 9/9 [00:04<00:00,  1.92it/s]]
Cross Validation Time Series 102:  56%|█████▌    | 5/9 [00:03<00:02,  1.40it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 102:  67%|██████▋   | 6/9 [00:03<00:01,  1.60it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 89: 100%|██████████| 9/9 [00:04<00:00,  1.80it/s]
Cross Validation Time Series 91:  78%|███████▊  | 7/9 [00:05<00:01,  1.21it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 99:  56%|█████▌    | 5/9 [00:01<00:01,  2.45it/s]]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 102: 100%|██████████| 9/9 [00:04<00:00,  1.81it/s]
Cross Validation Time Series 91: 100%|██████████| 9/9 [00:06<00:00,  1.47it/s]]
Cross Validation Time Series 99: 100%|██████████| 9/9 [00:04<00:00,  1.94it/s]
Cross Validation Time Series 90: 100%|██████████| 9/9 [00:06<00:00,  1.30it/s]]
Cross Validation Time Series 102: 100%|██████████| 9/9 [00:15<00:00,  1.71s/it]
Cross Validation Time Series 91:  44%|████▍     | 4/9 [00:01<00:02,  2.47it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 103:  22%|██▏       | 2/9 [00:00<00:01,  3.84it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 94: 100%|██████████| 9/9 [00:18<00:00,  2.05s/it]]
Cross Validation Time Series 91: 100%|██████████| 9/9 [00:03<00:00,  2.45it/s]]
Cross Validation Time Series 92:  11%|█         | 1/9 [00:00<00:02,  2.98it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 103: 100%|██████████| 9/9 [00:03<00:00,  2.49it/s]
Cross Validation Time Series 92:  33%|███▎      | 3/9 [00:01<00:02,  2.40it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 104:  11%|█         | 1/9 [00:00<00:06,  1.17it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 100: 100%|██████████| 9/9 [00:09<00:00,  1.07s/it]
Cross Validation Time Series 92: 100%|██████████| 9/9 [00:12<00:00,  1.37s/it]]
Cross Validation Time Series 103: 100%|██████████| 9/9 [00:13<00:00,  1.48s/it]
Cross Validation Time Series 92: 100%|██████████| 9/9 [00:03<00:00,  2.60it/s]
Cross Validation Time Series 101:  44%|████▍     | 4/9 [00:01<00:02,  2.41it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 95: 100%|██████████| 9/9 [00:05<00:00,  1.68it/s]]
Cross Validation Time Series 104: 100%|██████████| 9/9 [00:03<00:00,  2.59it/s]
Cross Validation Time Series 104:  44%|████▍     | 4/9 [00:01<00:01,  3.85it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 93:  44%|████▍     | 4/9 [00:01<00:01,  3.40it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 96:  22%|██▏       | 2/9 [00:00<00:01,  4.47it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 93:  56%|█████▌    | 5/9 [00:01<00:01,  3.49it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 92: 100%|██████████| 9/9 [00:22<00:00,  2.51s/it]
Cross Validation Time Series 93:  67%|██████▋   | 6/9 [00:01<00:00,  3.33it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 93:  33%|███▎      | 3/9 [00:01<00:02,  2.19it/s]]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 104: 100%|██████████| 9/9 [00:03<00:00,  2.58it/s]
Cross Validation Time Series 93: 100%|██████████| 9/9 [00:04<00:00,  1.94it/s]]
Cross Validation Time Series 96:  78%|███████▊  | 7/9 [00:03<00:01,  1.39it/s]]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 101: 100%|██████████| 9/9 [00:06<00:00,  1.49it/s]
Cross Validation Time Series 94:  22%|██▏       | 2/9 [00:00<00:01,  4.63it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 105:   0%|          | 0/9 [00:02<?, ?it/s]21it/s]
Cross Validation Time Series 96: 100%|██████████| 9/9 [00:05<00:00,  1.74it/s]]
Cross Validation Time Series 105: 100%|██████████| 9/9 [00:05<00:00,  1.78it/s]
Cross Validation Time Series 93: 100%|██████████| 9/9 [00:04<00:00,  1.94it/s]]
Cross Validation Time Series 94:  89%|████████▉ | 8/9 [00:02<00:00,  3.94it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 94: 100%|██████████| 9/9 [00:02<00:00,  3.63it/s]]
Cross Validation Time Series 95:  11%|█         | 1/9 [00:00<00:02,  3.88it/s]]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 93: 100%|██████████| 9/9 [00:08<00:00,  1.09it/s]]
Cross Validation Time Series 94:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 102: 100%|██████████| 9/9 [00:04<00:00,  2.10it/s]
Cross Validation Time Series 94: 100%|██████████| 9/9 [00:04<00:00,  2.00it/s]]
Cross Validation Time Series 97:  78%|███████▊  | 7/9 [00:04<00:01,  1.19it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 95: 100%|██████████| 9/9 [00:04<00:00,  1.85it/s]]
Cross Validation Time Series 96:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 97: 100%|██████████| 9/9 [00:06<00:00,  1.39it/s]]
Cross Validation Time Series 98:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 103: 100%|██████████| 9/9 [00:04<00:00,  2.24it/s]
Cross Validation Time Series 95: 100%|██████████| 9/9 [00:02<00:00,  3.06it/s]
Cross Validation Time Series 96: 100%|██████████| 9/9 [00:01<00:00,  5.06it/s]]
Cross Validation Time Series 98: 100%|██████████| 9/9 [00:02<00:00,  4.46it/s]]
Cross Validation Time Series 99: 100%|██████████| 9/9 [00:03<00:00,  2.97it/s]]
Cross Validation Time Series 94: 100%|██████████| 9/9 [00:10<00:00,  1.20s/it]]
Cross Validation Time Series 95:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 96: 100%|██████████| 9/9 [00:06<00:00,  1.44it/s]]
Cross Validation Time Series 104: 100%|██████████| 9/9 [00:06<00:00,  1.31it/s]
Cross Validation Time Series 97: 100%|██████████| 9/9 [00:09<00:00,  1.04s/it]]
Cross Validation Time Series 100: 100%|██████████| 9/9 [00:05<00:00,  1.52it/s]
Cross Validation Time Series 95: 100%|██████████| 9/9 [00:05<00:00,  1.78it/s]
Cross Validation Time Series 98: 100%|██████████| 9/9 [00:03<00:00,  2.54it/s]]
Cross Validation Time Series 97: 100%|██████████| 9/9 [00:08<00:00,  1.01it/s]]
Cross Validation Time Series 98: 100%|██████████| 9/9 [00:03<00:00,  2.81it/s]]
Cross Validation Time Series 96: 100%|██████████| 9/9 [00:08<00:00,  1.05it/s]
Cross Validation Time Series 97:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 105:  89%|████████▉ | 8/9 [00:12<00:01,  1.29s/it]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 99: 100%|██████████| 9/9 [00:06<00:00,  1.35it/s]
Cross Validation Time Series 105: 100%|██████████| 9/9 [00:14<00:00,  1.64s/it]
Cross Validation Time Series 99: 100%|██████████| 9/9 [00:03<00:00,  2.99it/s]]
Cross Validation Time Series 100:   0%|          | 0/9 [00:00<?, ?it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 101: 100%|██████████| 9/9 [00:12<00:00,  1.34s/it]
Cross Validation Time Series 100:  33%|███▎      | 3/9 [00:00<00:01,  4.11it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 100:  44%|████▍     | 4/9 [00:00<00:01,  4.46it/s]/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ets.py:1038: RuntimeWarning: divide by zero encountered in double_scalars
  sigma2 = np.sum(e**2) / (ny - np_ - 1)
Cross Validation Time Series 100: 100%|██████████| 9/9 [00:01<00:00,  4.72it/s]
Cross Validation Time Series 106: 100%|██████████| 9/9 [00:02<00:00,  3.67it/s]
Cross Validation Time Series 102: 100%|██████████| 9/9 [00:05<00:00,  1.75it/s]
Cross Validation Time Series 100: 100%|██████████| 9/9 [00:07<00:00,  1.21it/s]
Cross Validation Time Series 101: 100%|██████████| 9/9 [00:04<00:00,  1.97it/s]
Cross Validation Time Series 103: 100%|██████████| 9/9 [00:01<00:00,  5.16it/s]
Cross Validation Time Series 97: 100%|██████████| 9/9 [00:10<00:00,  1.20s/it]]
Cross Validation Time Series 101: 100%|██████████| 9/9 [00:03<00:00,  2.27it/s]
Cross Validation Time Series 102: 100%|██████████| 9/9 [00:04<00:00,  2.16it/s]
Cross Validation Time Series 102: 100%|██████████| 9/9 [00:02<00:00,  4.22it/s]
Cross Validation Time Series 104: 100%|██████████| 9/9 [00:04<00:00,  1.90it/s]
Cross Validation Time Series 103: 100%|██████████| 9/9 [00:03<00:00,  3.00it/s]
Cross Validation Time Series 103: 100%|██████████| 9/9 [00:03<00:00,  2.41it/s]
Cross Validation Time Series 105: 100%|██████████| 9/9 [00:04<00:00,  1.90it/s]
Cross Validation Time Series 104: 100%|██████████| 9/9 [00:02<00:00,  3.85it/s]
Cross Validation Time Series 98: 100%|██████████| 9/9 [00:10<00:00,  1.14s/it]]
Cross Validation Time Series 104: 100%|██████████| 9/9 [00:05<00:00,  1.62it/s]
Cross Validation Time Series 106: 100%|██████████| 9/9 [00:02<00:00,  3.77it/s]
Cross Validation Time Series 105: 100%|██████████| 9/9 [00:03<00:00,  2.67it/s]
Cross Validation Time Series 99: 100%|██████████| 9/9 [00:05<00:00,  1.58it/s]]
Cross Validation Time Series 105: 100%|██████████| 9/9 [00:05<00:00,  1.56it/s]
Cross Validation Time Series 106: 100%|██████████| 9/9 [00:02<00:00,  3.03it/s]
Cross Validation Time Series 100: 100%|██████████| 9/9 [00:05<00:00,  1.63it/s]
Cross Validation Time Series 101: 100%|██████████| 9/9 [00:05<00:00,  1.53it/s]
Cross Validation Time Series 102: 100%|██████████| 9/9 [00:02<00:00,  3.43it/s]
Cross Validation Time Series 103: 100%|██████████| 9/9 [00:04<00:00,  2.15it/s]
Cross Validation Time Series 104: 100%|██████████| 9/9 [00:05<00:00,  1.52it/s]
Cross Validation Time Series 105: 100%|██████████| 9/9 [00:03<00:00,  2.48it/s] ---------------------------------------------------------------------------
RemoteTraceback                           Traceback (most recent call last)
RemoteTraceback: 
"""
Traceback (most recent call last):
  File "/Users/tungnguyen/anaconda3/lib/python3.10/multiprocessing/pool.py", line 125, in worker
    result = (True, func(*args, **kwds))
  File "/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/core.py", line 322, in cross_validation
    raise error
  File "/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/core.py", line 319, in cross_validation
    res_i = model.forecast(**forecast_kwargs)
  File "/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/models.py", line 1057, in forecast
    mod = auto_ces(y, m=self.season_length, model=self.model)
  File "/Users/tungnguyen/anaconda3/lib/python3.10/site-packages/statsforecast/ces.py", line 782, in auto_ces
    raise Exception("no model able to be fitted")
Exception: no model able to be fitted
"""

The above exception was the direct cause of the following exception:

Exception                                 Traceback (most recent call last)
Cell In[13], line 22
     19 sf = StatsForecast(models=models, freq='1w', n_jobs=-1)
     21 # Perform cross-validation with a step size of 1 to mimic an expanding window
---> 22 crossvalidation_df = sf.cross_validation(df=y_cl4_filtered, h=4, step_size=1, n_windows=9, sort_df=True)
     24 # Calculate the ensemble mean
     25 ensemble = crossvalidation_df[['AutoARIMA', 'AutoETS', 'CES', 'DynamicOptimizedTheta']].mean(axis=1)

File ~/anaconda3/lib/python3.10/site-packages/statsforecast/core.py:1616, in StatsForecast.cross_validation(self, h, df, n_windows, step_size, test_size, input_size, level, fitted, refit, sort_df, prediction_intervals, id_col, time_col, target_col)
   1598 def cross_validation(
   1599     self,
   1600     h: int,
   (...)
   1613     target_col: str = "y",
   1614 ):
   1615     if self._is_native(df=df):
-> 1616         return super().cross_validation(
   1617             h=h,
   1618             df=df,
   1619             n_windows=n_windows,
   1620             step_size=step_size,
   1621             test_size=test_size,
   1622             input_size=input_size,
   1623             level=level,
   1624             fitted=fitted,
   1625             refit=refit,
   1626             sort_df=sort_df,
   1627             prediction_intervals=prediction_intervals,
   1628             id_col=id_col,
   1629             time_col=time_col,
   1630             target_col=target_col,
   1631         )
   1632     assert df is not None
   1633     engine = make_execution_engine(infer_by=[df])

File ~/anaconda3/lib/python3.10/site-packages/statsforecast/core.py:1026, in _StatsForecast.cross_validation(self, h, df, n_windows, step_size, test_size, input_size, level, fitted, refit, sort_df, prediction_intervals, id_col, time_col, target_col)
   1012     res_fcsts = self.ga.cross_validation(
   1013         models=self.models,
   1014         h=h,
   (...)
   1023         target_col=target_col,
   1024     )
   1025 else:
-> 1026     res_fcsts = self._cross_validation_parallel(
   1027         h=h,
   1028         test_size=test_size,
   1029         step_size=step_size,
   1030         input_size=input_size,
   1031         fitted=fitted,
   1032         level=level,
   1033         refit=refit,
   1034         target_col=target_col,
   1035     )
   1036 if fitted:
   1037     self.cv_fitted_values_ = res_fcsts["fitted"]

File ~/anaconda3/lib/python3.10/site-packages/statsforecast/core.py:1248, in _StatsForecast._cross_validation_parallel(self, h, test_size, step_size, input_size, fitted, level, refit, target_col)
   1232     future = executor.apply_async(
   1233         ga.cross_validation,
   1234         (
   (...)
   1245         ),
   1246     )
   1247     futures.append(future)
-> 1248 out = [f.get() for f in futures]
   1249 fcsts = [d["forecasts"] for d in out]
   1250 fcsts = np.vstack(fcsts)

File ~/anaconda3/lib/python3.10/site-packages/statsforecast/core.py:1248, in <listcomp>(.0)
   1232     future = executor.apply_async(
   1233         ga.cross_validation,
   1234         (
   (...)
   1245         ),
   1246     )
   1247     futures.append(future)
-> 1248 out = [f.get() for f in futures]
   1249 fcsts = [d["forecasts"] for d in out]
   1250 fcsts = np.vstack(fcsts)

File ~/anaconda3/lib/python3.10/multiprocessing/pool.py:774, in ApplyResult.get(self, timeout)
    772     return self._value
    773 else:
--> 774     raise self._value

Exception: no model able to be fitted