/vectorize_input_mlp.py
Last active Dec 31, 2018
| max_words = 10000 | |
| # Generate split training and testing data (80% training, 20% testing) | |
| x_train, x_test, y_train, y_test = load_encoded_data(data_split=0.8) | |
| # Vectorizing the input data into a Keras readable format (sequence matrix) | |
| tokenizer = Tokenizer(num_words=max_words) | |
| x_train = tokenizer.sequences_to_matrix(x_train, mode='binary') | |
| x_test = tokenizer.sequences_to_matrix(x_test, mode='binary') |
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