Max Berrendorf

No, it should also work with the (default) RankBasedEvaluator.

> Do you have any hints where the problem comes from and how to fix it? I took a closer look at the QuatEInteraction and realised that a buffer called...

I was talking about the two `LpRegularizer` instances shown as `entity_representations[0].regularizer` and `relation_representations[0].regularizer`; `weight_regularizers` is just an empty list 🙂 You can either * disable the two regularizers by providing...

@DevDaring , in version 1,9, the API (of the prediction methods) was changed. There is a migration guide available at https://pykeen.readthedocs.io/en/stable/reference/predict.html#migration-guide

Hi @arushi-08 , the checkpoint files are *"just"* normal torch archives, i.e., you can load them via `torch.load` as done in the code snippet you linked (ore more precisely, just...

@pablo-sanchez-sony, would you mind opening a PR with the changes you suggest?

When setting a checkpoint name ``` checkpoint_name='rotate-checkpoint.pt', ``` it seems to be used for *all* trials => the second run thinks it is a continuation of the first trial, but...

Here is a smaller reproduction script to reproduce the error ```python from pykeen.hpo import hpo_pipeline result = hpo_pipeline( study_name="rotate_hpo", dataset="nations", model="RotatE", model_kwargs_ranges=dict( embedding_dim=dict(type=int, low=8, high=24, q=8), ), stopper="early", n_trials=2, training_loop="sLCWA",...

@arushi-08 , what is your use case for providing a checkpoint name? Do you want to save each trial's model? If yes, we have an explicit `save_model_directory` for that, which...

I have opened a small PR (#1324) to fail fast on the first trial with an error message about how to fix it 🙂