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In the method "test" in model.py, it seems that there is a module about training the model using the test data.(from line 236 to 244 ).
I wonder why we should use test golden label here and in line 230, is it used as a validation ?
I'm new in tensorflow, please pardon me if there were errors in my understanding.
The text was updated successfully, but these errors were encountered:
Yes, its a bug. Change that portion to this: loss = self.sess.run([self.loss], feed_dict={ self.input: x, self.time: time, self.target: target, self.context: context})
so that we just seek the loss without doing backprop.
Also there is a bug in data.py. We need to discard input samples from the class label: 'conflict' as suggested by the author.
In the method "test" in model.py, it seems that there is a module about training the model using the test data.(from line 236 to 244 ).
I wonder why we should use test golden label here and in line 230, is it used as a validation ?
I'm new in tensorflow, please pardon me if there were errors in my understanding.
The text was updated successfully, but these errors were encountered: