train test split sklearn
from sklearn.model_selection import train_test_split
X = df.drop(['target'],axis=1).values # independant features
y = df['target'].values # dependant variable
# Choose your test size to split between training and testing sets:
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.25, random_state=42)train dev test split sklearn
train, validate, test = np.split(df.sample(frac=1), [int(.6*len(df)), int(.8*len(df))])Copyright © 2021 Codeinu
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