Question for label processing

[dongqiaqia]

Question 1 Why the label for positive samples is -0.0001 and the labels for negative samples are 1?
Code in batcher_discriminator.py: 267
if int(label) == 1: label = -0.0001
elif int(label) == 0: label = 1

Question 2 Why the reward for generator is processed as follow:
Code in main.py:277
if reward['y_pred_auc'][i][j][k] > 12: reward['y_pred_auc'][i][j][k] = 12/ 10000.0
else: reward['y_pred_auc'][i][j][k] = reward['y_pred_auc'][i][j][k] / 10000.0
also in #4

@jingjingxupku

[mambalong]

@dongqiaqia I have a problem of running the codes, the code just stops after printing 'INFO:tensorflow:starting run_pre_train_generator'. Do you have this problem? I am using python 3.6 and tensorflow-gpu 1.3. Thank you so much.