Create inference.py
Browse files- inference.py +10 -0
inference.py
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import catboost
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from catboost import CatBoostRegressor
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model = CatBoostRegressor()
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model.load_model("model.cbm")
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def predict(features):
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# Transform features if necessary
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prediction = model.predict([features])
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return prediction.tolist()
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