train dev test split sklearn

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Edric
08 Nov 2018
1from sklearn.model_selection import train_test_split
2
3X = df.drop(['target'],axis=1).values   # independant features
4y = df['target'].values					# dependant variable
5
6# Choose your test size to split between training and testing sets:
7X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.25, random_state=42)
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Leina
14 Mar 2018
1train, validate, test = np.split(df.sample(frac=1), [int(.6*len(df)), int(.8*len(df))])
2
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