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Change prediction input feature
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@ -2,7 +2,7 @@ import joblib
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class XgboostIndoorModel:
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MODEL_PATH = 'xgboost_model.pkl'
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MODEL_PATH = 'analytic/health/xgboost_model.pkl'
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def __init__(self):
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self.__model = joblib.load(self.MODEL_PATH)
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@ -13,7 +13,7 @@ class XgboostIndoorModel:
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Input order : ['outdoor_temp', 'outdoor_feels_like', 'outdoor_pressure',
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'outdoor_humidity', 'outdoor_pm25', 'outdoor_pm10']
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"""
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if len(X) != 6:
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if len(X) != 4:
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raise ValueError(f"Expected 6 features, got {len(X)}")
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return self.__model.predict([X])[0]
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