Early Stopping for Keras

callbacks = [
    EarlyStopping(monitor='val_loss', patience=2, verbose=0),
    ModelCheckpoint(kfold_weights_path, monitor='val_loss', save_best_only=True, verbose=0),
]
model.fit(X_train.astype('float32'), Y_train, batch_size=batch_size, nb_epoch=nb_epoch,
      shuffle=True, verbose=1, validation_data=(X_valid, Y_valid),
      callbacks=callbacks)

earlyStopping=keras.callbacks.EarlyStopping(monitor='val_loss', patience=0, verbose=0, mode='auto')
model.fit(X, y, batch_size=128, nb_epoch=100, verbose=1, callbacks=[earlyStopping], validation_split=0.1, validation_data=None, shuffle=True, show_accuracy=False, class_weight=None, sample_weight=None)