Sequence classifiers for scikit-learn
Project description
Convolutional neural network sequence classifier with a scikit-learn interface.
Usage example
Predicting IMDB review sentiments.:
from keras.datasets import imdb from keras.preprocessing import sequence from sequence_classifiers import CNNSequenceClassifier maxlen = 400 (x_train, y_train), (x_test, y_test) = imdb.load_data(num_words=5000) x_train = sequence.pad_sequences(x_train, maxlen=maxlen) x_test = sequence.pad_sequences(x_test, maxlen=maxlen) clf = CNNSequenceClassifier(epochs=2) clf.fit(x_train, y_train) print(clf.score(x_test, y_test))
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