Metadata-Version: 1.1
Name: sklearn-sequence-classifiers
Version: 0.2
Summary: Sequence classifiers for scikit-learn
Home-page: UNKNOWN
Author: Antti Ajanki
Author-email: antti.ajanki@iki.fi
License: BSD
Description: Sequence classifiers for scikit-learn
        =====================================
        
        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))
        
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 2.7
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Software Development :: Libraries
