Commit From AutoTrain
Browse files- .gitattributes +3 -0
- README.md +45 -0
- config.json +1 -0
- model.joblib +3 -0
.gitattributes
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README.md
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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: 0.09875665677327088
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---
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# Model Trained Using AutoTrain
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- Problem type: Single Column Regression
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- Model ID: 40376105019
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- CO2 Emissions (in grams): 0.0988
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## Validation Metrics
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- Loss: 0.152
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- R2: 0.659
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- MSE: 0.023
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- MAE: 0.062
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- RMSLE: 0.105
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## Usage
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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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model = joblib.load('model.joblib')
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config = json.load(open('config.json'))
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features = config['features']
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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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predictions = model.predict(data) # or model.predict_proba(data)
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```
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config.json
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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": "xgboost", "target_mapping": {}}
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model.joblib
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version https://git-lfs.github.com/spec/v1
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oid sha256:3b57f72deb49be094ebcfb1958e8e6f4c0d823f4bc7a69972302ef6d447c901c
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size 51105257
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