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Killavus/SGD_test.py

Created January 29, 2016 00:36
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SGD_test.py
svc = SGDClassifier(loss='squared_hinge', verbose=1, n_jobs=8, n_iter=100)
svc.fit(train_data, train_labels)
predictions = svc.predict(validation_data)
wrong = np.nonzero(validation_labels - predictions)[0].astype(np.float).shape[0]
print (float(wrong) / predictions.shape[0])
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