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I might be misunderstanding (e.g. perhaps all the ground-truth factors are meant to be discretized), but it seems like all of the metrics require latent factors to be discrete, e.g. using a classifier rather than a regressor for DCI. This is a bit inconvenient for users who would like to use your library to evaluate disentanglement solely given matrices of continuous latents and ground truth factors (without using the representation_function API). I know it's a design choice rather than a bug, but I'd still like to make the suggestion that it would be helpful for future users if you supported this use case!
The text was updated successfully, but these errors were encountered:
I might be misunderstanding (e.g. perhaps all the ground-truth factors are meant to be discretized), but it seems like all of the metrics require latent factors to be discrete, e.g. using a classifier rather than a regressor for DCI. This is a bit inconvenient for users who would like to use your library to evaluate disentanglement solely given matrices of continuous latents and ground truth factors (without using the
representation_function
API). I know it's a design choice rather than a bug, but I'd still like to make the suggestion that it would be helpful for future users if you supported this use case!The text was updated successfully, but these errors were encountered: