The "show_accuracy" argument is deprecated

C:\Program Files\Anaconda2\lib\site-packages\keras\models.py:635: UserWarning: he “show_accuracy” argument is deprecated, instead you should pass the "accurac " metric to the model at compile time: model.compile(optimizer, loss, metrics=["accuracy"]) warnings.warn('The “show_accuracy” argument is deprecated, ’

In your example application:

model.fit(X_train, Y_train,
              batch_size={{choice([64, 128])}},
              nb_epoch=1,
              show_accuracy=True,
              verbose=2,
              validation_data=(X_test, Y_test))

[JAStark]

The issue arises from: model.fit(X_train, y_train_ohe, nb_epoch=50, batch_size=300, verbose=1, validation_split=0.1, show_metrics=True) which is from a book (Python Machine Learning by @Rasbt https://github.com/rasbt/python-machine-learning-book. It’s awesome, but I guess the code gets old quick!)

The new way of doing it means to add metrics=['accuracy'] to the model.compilesection, rather than themodel.fit`:

model.compile(loss='categorical_crossentropy', optimizer=sgd, metrics=['accuracy']) I’ve just run into this issue, and changing the code in these places worked for me 😄

[jdelange]

@isrugeek As noted above: replace the show_accuracy=True statement with metrics=['accuracy'] I’m not sure exactly where this applies, but it is either in the code you are writing, or it is in existing (example) code in Keras/Hyperas if it has not yet been fixed. Note: I had too many issues with Hyperas, I used Hyperopt instead.