shenweichen/DSIN

about your problem.

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Hi,

The nan problem in training, I have no idea. Can you fix it? How many epochs is the model converge?

The nan problem in test, you can change the last line with
print("test LogLoss {0}".format( round(log_loss(test_label, np.array(pred_ans, dtype=np.float64), labels=(0, 1)), 4)))
maybe work.
btw, I wonder if preprocessed pkl will be released.

Thanks!

thanks for your advice,1 epoch is enough to converge.
we will release the pkl files later