humap

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Transform with new data?

1

Semi-related to #4 , but my case is that I want to use HUMAP on a supervised data where I have a training data with labels, and I want to...

stallam-unb

Semi-supervised learning?

6

Thanks for writing this awesome library, only recently discovered it. Do you have plans to support semi-supervised umap? From my first try outs of your library, this is the fastest...

KnutJaegersberg

Model persistence

1

umap allows me to fit the model on a small sample of data and then persist the model to disk. Subsequently, I can load the model from disk and compute...

adsharma

Configurable n_components for low dimensional embedding

1

Thank you for writing a much faster implementation of this concept. In umap, it's possible to get an embedding in a single dimension by specifying `n_components=1`. Is there a way...

adsharma