How do I suppress verbose output on kerasga fit cycle

[agcala]

Is there a way to suppress the verbose output with a parameter maybe?

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Generation = 1
.  .  .  .  .  .  .

Also, is there a way to use a input data generator for large file sizes? I mean for toys examples it is okay but when it comes to real life data it can be tricky. I wouldn't mind a way to control the batch size either.

[ahmedfgad]

The new release will disable printing the epochs log messages. This happens when calling the keras.predict() method. This commit has the solution 0fe7e24

Right now there is no way to control the patch size or pass an input data generator. But it is interesting to support passing an input data generator in an upcoming release. Thank you.