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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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+ *.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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+ - vyver7952/autotrain-data-foreign-exchange-idr-usd
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+ co2_eq_emissions:
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+ emissions: 17.613208052550398
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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: 50442120506
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+ - CO2 Emissions (in grams): 17.6132
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+
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+ ## Validation Metrics
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+
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+ - Loss: 4.426
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+ - R2: 1.000
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+ - MSE: 19.592
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+ - MAE: 1.653
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+ - RMSLE: 0.000
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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": ["Nilai", "Kurs Beli", "Tanggal"], "targets": ["target"], "model_type": "random_forest", "target_mapping": {}}
model.joblib ADDED
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