More informative console output DQN tutorial

[mjopensuse]

Dear Sebastian Theiler,

thanks for your great DQN tutorial example. I was wondering if it is possible to suppress the output in the console that looks something like: 1/1 [==============================] - 0s 26ms/step 1/1 [==============================] - 0s 25ms/step 1/1 [==============================] - 0s 22ms/step 1/1 [==============================] - 0s 25ms/step 1/1 [==============================] - 0s 23ms/step 1/1 [==============================] - 0s 21ms/step 1/1 [==============================] - 0s 21ms/step 1/1 [==============================] - 0s 22ms/step 1/1 [==============================] - 0s 22ms/step 1/1 [==============================] - 0s 24ms/step 1/1 [==============================] - 0s 23ms/step 1/1 [==============================] - 0s 27ms/step 1/1 [==============================] - 0s 24ms/step 1/1 [==============================] - 0s 24ms/step 1/1 [==============================] - 0s 28ms/step 1/1 [==============================] - 0s 26ms/step 1/1 [==============================] - 0s 25ms/step 1/1 [==============================] - 0s 26ms/step 1/1 [==============================] - 0s 32ms/step 1/1 [==============================] - 0s 25ms/step 1/1 [==============================] - 0s 25ms/step 1/1 [==============================] - 0s 31ms/step 1/1 [==============================] - 0s 28ms/step 1/1 [==============================] - 0s 31ms/step 1/1 [==============================] - 0s 27ms/step 1/1 [==============================] - 0s 34ms/step 1/1 [==============================] - 0s 30ms/step 1/1 [==============================] - 0s 24ms/step 1/1 [==============================] - 0s 25ms/step 1/1 [==============================] - 0s 23ms/step 1/1 [==============================] - 0s 25ms/step 1/1 [==============================] - 0s 24ms/step 1/1 [==============================] - 0s 23ms/step 1/1 [==============================] - 0s 24ms/step 1/1 [==============================] - 0s 22ms/step 1/1 [==============================] - 0s 22ms/step 1/1 [==============================] -

or make it more informative for each line. Seems to come from Keras?

Every once in a while I see a line like

1/1 [==============================] - 0s 24ms/step 1/1 [==============================] - 0s 25ms/step 1/1 [==============================] - 0s 28ms/step Game number: 000580 Frame number: 00104874 Average reward: 1.3 Time taken: 12.0s 1/1 [==============================] - 0s 29ms/step 1/1 [==============================] - 0s 27ms/step 1/1 [==============================] - 0s 25ms/step 1/1 [==============================] - 0s 30ms/

coming by.

Or is something going horribly wrong in my environment and console output during training should not be looking like this?

[mjopensuse]

answer add verbose = 0 to .prict call on model q_vals = self.DQN.predict(state.reshape((-1, self.input_shape[0], self.input_shape[1], self.history_length)), verbose=0)[0]