sumitpai

multiclass_nll would be supported in our releases. The problem is that this feature branch(feature/#82) was branched out from an older version of AmpliGraph (which didn't not have the multiclass_nll loss)...

Thanks for try out this feature. This issue is under development, so it may be unstable. As described [here](https://github.com/Accenture/AmpliGraph/issues/82#issuecomment-511419783) only the baselines have been implemented but the Hamaguchi model is...

@juarezsacenti I will have a look at this

The distance between 2 complex points p1 = `x+yi` and p2=`a+bi` is :  The same can be extended to higher dims. The embedding vector itself is represented in our...

Thanks for reporting this bug. We had not handled the edge case gracefully. Here your training set size is much less than the batch count. So it treats each batch...

Added support for L4 but committed on a different branch in commit 2d330fb40d87dbbd2d5ef318469214e093623547 . We are getting error related to issue 3 on their repo.

During the test/valid time, we don't specify the numeric values. Instead, what we would expect is that when a triple has a high numeric value, when ranked against all corruptions,...

The numeric values are mainly used during training to focus the models on high valued triples over the low valued ones. At test time one can split the test set...

We are not evaluating the early stopping performance on the test set. The mrr computed during early stopping is only on the validation set `X['valid']` . We are only using...

make sure we don't recreate https://github.com/Accenture/AmpliGraph/issues/137