I removed the possibility of using both the between-runs and between-datasets at the same time.
I removed the possibility to add dataset_ids for the between-runs consistency. The labels will be np.arange(len(embeddings)) always.
The embeddings provided for between-runs must be the same number of samples (as no alignment is happening), but the number of output dimensions can be different.
I re-wrote the tests: 2 functions one for each (datasets / runs).
I re-wrote some of the examples in the usage file so that the tests pass.
to do:
Maybe need better documentation in the usage file for instance.
dataset_idsfor the between-runs consistency. The labels will benp.arange(len(embeddings))always.to do: Maybe need better documentation in the usage file for instance.
Fix https://github.com/AdaptiveMotorControlLab/CEBRA/issues/27 Fix #54