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| dimension=10000 | |
| mlb = MultiLabelBinarizer(classes=range(dimension)) | |
| x_train = mlb.fit_transform(train_data) | |
| x_test = mlb.fit_transform(test_data) | |
| y_train = np.asarray(train_labels).astype('float32') | |
| y_test = np.asarray(test_labels).astype('float32') | |
| x_val = x_train[:10000] | |
| partial_x_train = x_train[10000:] | |
| y_val = y_train[:10000] | |
| partial_y_train = y_train[10000:] |
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