Commit From AutoTrain

.gitattributes

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README.md

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+---
+tags:
+- autotrain
+- tabular
+- regression
+- tabular-regression
+datasets:
+- Fatihrizkia/autotrain-data-xauusdh4timestamp
+co2_eq_emissions:
+  emissions: 7.055812310656196
+---
+
+# Model Trained Using AutoTrain
+
+- Problem type: Single Column Regression
+- Model ID: 100145147571
+- CO2 Emissions (in grams): 7.0558
+
+## Validation Metrics
+
+- Loss: 0.380
+- R2: 0.421
+- MSE: 0.145
+- MAE: 0.302
+- RMSLE: 0.267
+
+## Usage
+
+```python
+import json
+import joblib
+import pandas as pd
+
+model = joblib.load('model.joblib')
+config = json.load(open('config.json'))
+
+features = config['features']
+
+# data = pd.read_csv("data.csv")
+data = data[features]
+data.columns = ["feat_" + str(col) for col in data.columns]
+
+predictions = model.predict(data)  # or model.predict_proba(data)
+
+```

config.json

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+{"features": ["Unnamed: 0", "Time", "Open", "High", "Low", "Close", "Volume", "Pivot", "R1", "R2", "R3", "S1", "S2", "S3", "EMA_5", "EMA_50", "EMA_100", "EMA_200", "ADX", "+DMI", "-DMI", "RSI_14", "ATR_14", "Pivot_Touched", "R1_Touched", "R2_Touched", "R3_Touched", "S1_Touched", "S2_Touched", "S3_Touched", "Pivot_Position", "Breakout_High", "Breakout_Low", "Breakout_HighLow", "ADX_Sideways", "DMI_Bull_Cross", "DMI_Bear_Cross", "EMA100_Bearish_Position", "EMA100_Bullish_Position", "EMA200_Bearish_Position", "EMA200_Bullish_Position", "RSI14_Bullish_status", "RSI14_Bearish_status", "ATR14_complete"], "targets": ["target"], "model_type": "xgboost", "target_mapping": {}}

model.joblib

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