The "show_accuracy" argument is deprecated about hyperas HOT 11 CLOSED

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 :D

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@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.

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@jdelange Thanks but after i changed it shows me another error

TypeError: Received unknown keyword arguments: {'metrics': ['accuracy']}

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@isrugeek Sorry, can't see what you are doing. The syntax provided is correct, so the call may not be applicable/available in your case? Sounds quite basic. Not sure how experienced you are. Have a look at this site Machine learning mastery lots of basic examples to get started. Helped me a lot.

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@jdelange How did you fix this issue i also got this Issue in my Project ( Not this Code)
Thanks in Advance

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@jdelange Thanks buddy. i am confused because it works on my different machine and not on MacBook . any how i fixed the problem by edit the Model.py( Keras File) by comparing my Old machine.

Thanks

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@JAStark The keras section? Oh yeah, that was 2015 :P. The next edition will have up-to-date tensorflow >= 1.0 code ;)

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@rasbt yes! Chapter 13 :)

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ok, it's updated now in the readme. Note that you're free to leave out additional arguments in examples as you want, hyperas is just a wrapper, not a prescription. :)

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@JAStark thanks

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@JAStark good answer,thanks

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