Leland McInnes

I like the 1-2 plan since there are other things that trigger warnings that transforms will not eb available and failure doesn't occur 'til later, so it fits the pattern....

The newer code has some extra parameters to that function (which is largely an internal function). On the plus side you should now be able to do something like ```python...

I believe you should be able to see more details on the combined fits in the documentation: https://umap-learn.readthedocs.io/en/latest/composing_models.html

This is actually a problem I am working towards solving in general, but I do not yet have all the bits and pieces required in place in the code yet,...

The data you pass in to simplicial set embedding shouldn't matter too much unless you end up with lots of separate connected components. I admit that I can't say immediately...

Okay, so this is a little less than ideal because these are decidedly not public APIs, so it gets messy, but you can try: ```python fit1 = umap.UMAP(metric='braycurtis').fit(df_b.values) fit2 =...

Glad that its working better. A proper interface for general dataframe handling (based on the new sklearn ColumnTransformer) based on this newer code is among my plans for 0.4. It...

It is an interesting question -- theoretically you don't need to reset the local connectivity 'til the end, but implementation-wise I believe it would be more beneficial to do so...

Transform for mixed-type data is something that is certainly not available at this time. It isn't theoretically infeasible, but implementation-wise it would require a non-negligible amount of code refactoring to...

@ekerazha You can certainly try, but I suspect getting good parameters/architecture for the network and successfully training it without overfitting to the original input data will be a potentially large...