Dash Shi

It’s basic TensorFlow operations. It should return a numpy object. I don’t have any tutorial on hand unfortunately On Thu, Apr 11, 2019 at 9:29 PM trishav96 wrote: > I've...

It may just take a very long time to finish I guess. I never experienced such a thing before.

Hi, that is used for calculating the filtered metrics. If you use train only, it will not correctly filter out true entities in valid and test set when calculate the...

The training is using the train-hrt only. The hrt is used for evaluation. Sent from my iPhone > On Mar 17, 2017, at 11:13 AM, Zichao Huang wrote: > >...

Hi I think there might be a problem, I'll look into that.

Hi, please check [data_generator_func](https://github.com/bxshi/ProjE/blob/master/ProjE_softmax.py#L400), it took an input_queue from [self.raw_training_data](https://github.com/bxshi/ProjE/blob/master/ProjE_softmax.py#L53), which is the generated raw training data from `self.__train_hr_t` and `self.__train_tr_h`. The `tr_h` and `hr_t` are used to filter out...

https://github.com/bxshi/ProjE/blob/master/ProjE_softmax.py#L546 uses `hr_t` and `tr_h` for evaluation so if you change them the model can not report accurate results.

Hi I have updated the code. Now it does not use `hr_t` and `tr_h` to filter out negative examples.

If you have time I would suggest lower the learning rate say 1e-3 or 4e-5 and try again. My parameters are based on the wrong set so you may need...

@760008522 For example https://github.com/bxshi/ProjE/blob/master/ProjE_softmax_noweight.py#L313, the `hr_tlist_weight` is the masking weight which has a shape of `[None, model.n_entity]`. It is generated inside `data_generator_func` https://github.com/bxshi/ProjE/blob/master/ProjE_softmax_noweight.py#L425