| from sklearn.model_selection import train_test_split | |
| # split into training and validation sets | |
| X_tr, X_val, y_tr, y_val = train_test_split(train.clean_text, train.label, test_size=0.25, random_state=42) | |
| print('X_tr shape:',X_tr.shape) |
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