Merge branch 'master' of https://codefirst.iut.uca.fr/git/Picksteel/Pow
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from sklearn.model_selection import train_test_split
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from sklearn.linear_model import LinearRegression
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from sklearn.ensemble import RandomForestRegressor
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def getColumnsForPredictionAndPredict(df,columns, columnGoal, algoOfPrediction):
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predictors = df[columns]
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target = df[columnGoal]
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X_train, X_test, y_train, y_test = train_test_split(predictors, target, test_size=0.2, random_state=42)
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if algoOfPrediction == "Régression Linéaire":
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model = LinearRegression()
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elif algoOfPrediction == "Forêt Aléatoire":
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model = RandomForestRegressor(n_estimators=100)
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else:
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raise NameError("No method name : \"" + algoOfPrediction + "\"")
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model.fit(X_train, y_train)
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return model.predict(X_test)
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