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Commit From AutoTrain

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  1. .gitattributes +3 -0
  2. README.md +45 -0
  3. config.json +1 -0
  4. model.joblib +3 -0
.gitattributes CHANGED
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  *.zip filter=lfs diff=lfs merge=lfs -text
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+ *.bin.* filter=lfs diff=lfs merge=lfs -text
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+ *.tar.gz filter=lfs diff=lfs merge=lfs -text
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+ tokenizer.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
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+ ---
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+ tags:
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+ - autotrain
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+ - tabular
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+ - regression
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+ - tabular-regression
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+ datasets:
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+ - bibekbehera/autotrain-data-numeric_prediction
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+ co2_eq_emissions:
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+ emissions: 27.469239802379224
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+ ---
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+
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+ # Model Trained Using AutoTrain
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+
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+ - Problem type: Single Column Regression
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+ - Model ID: 40376105012
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+ - CO2 Emissions (in grams): 27.4692
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+
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+ ## Validation Metrics
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+
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+ - Loss: 0.211
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+ - R2: 0.339
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+ - MSE: 0.045
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+ - MAE: 0.104
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+ - RMSLE: 0.145
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+
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+ ## Usage
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+
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+ ```python
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+ import json
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+ import joblib
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+ import pandas as pd
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+
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+ model = joblib.load('model.joblib')
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+ config = json.load(open('config.json'))
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+
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+ features = config['features']
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+
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+ # data = pd.read_csv("data.csv")
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+ data = data[features]
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+ data.columns = ["feat_" + str(col) for col in data.columns]
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+
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+ predictions = model.predict(data) # or model.predict_proba(data)
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+
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+ ```
config.json ADDED
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+ {"features": ["age", "year", "month", "day", "hour", "minute", "volume", "high", "low", "close", "open", "AVERAGE_SMA_3_CLOSE", "EMA_3_CLOSE", "MACD_3_CLOSE", "AVERAGE_SMA_3_OPENHIGH", "EMA_3_OPENHIGH", "MACD_3_OPENHIGH", "AVERAGE_SMA_3_HIGHLOW", "EMA_3_HIGHLOW", "MACD_3_HIGHLOW", "AVERAGE_SMA_3_VOLUME", "EMA_3_VOLUME", "MACD_3_VOLUME", "AVERAGE_SMA_4_CLOSE", "EMA_4_CLOSE", "MACD_4_CLOSE", "AVERAGE_SMA_4_OPENHIGH", "EMA_4_OPENHIGH", "MACD_4_OPENHIGH", "AVERAGE_SMA_4_HIGHLOW", "EMA_4_HIGHLOW", "MACD_4_HIGHLOW", "AVERAGE_SMA_4_VOLUME", "EMA_4_VOLUME", "MACD_4_VOLUME", "AVERAGE_SMA_7_CLOSE", "EMA_7_CLOSE", "MACD_7_CLOSE", "AVERAGE_SMA_7_OPENHIGH", "EMA_7_OPENHIGH", "MACD_7_OPENHIGH", "AVERAGE_SMA_7_HIGHLOW", "EMA_7_HIGHLOW", "MACD_7_HIGHLOW", "AVERAGE_SMA_7_VOLUME", "EMA_7_VOLUME", "MACD_7_VOLUME", "AVERAGE_SMA_20_CLOSE", "EMA_20_CLOSE", "MACD_20_CLOSE", "AVERAGE_SMA_20_OPENHIGH", "EMA_20_OPENHIGH", "MACD_20_OPENHIGH", "AVERAGE_SMA_20_HIGHLOW", "EMA_20_HIGHLOW", "MACD_20_HIGHLOW", "AVERAGE_SMA_20_VOLUME", "EMA_20_VOLUME", "MACD_20_VOLUME", "AVERAGE_SMA_50_CLOSE", "EMA_50_CLOSE", "MACD_50_CLOSE", "AVERAGE_SMA_50_OPENHIGH", "EMA_50_OPENHIGH", "MACD_50_OPENHIGH", "AVERAGE_SMA_50_HIGHLOW", "EMA_50_HIGHLOW", "MACD_50_HIGHLOW", "AVERAGE_SMA_50_VOLUME", "EMA_50_VOLUME", "MACD_50_VOLUME", "DAYS_UNTIL_END_OF_MONTH", "DAYS_UNTIL_END_OF_TRIMESTER", "DINAMIC3", "market"], "targets": ["target"], "model_type": "extra_trees", "target_mapping": {}}
model.joblib ADDED
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+ size 23896791