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both categorical and continuous features are handled well
How do we handle categorical features? Is one-hot-encoding enough?
In UMAP you can use different distances for one-hot-encoded categorical features (e.g. dice, jaccard etc.) and continuous features, then you perform an "intersection" (see lmcinnes/umap#58).
How can we handle mixed type datasets in ivis? Can we just use it on a dataset with continuous features and one-hot-encoded categorical features mixed together?
Thank you very much
The text was updated successfully, but these errors were encountered:
Hi - you can mix one-hot-encoded features with continuous. Since OHE will be 0/1, you may also need to scale your continuous features to 0-1 scale as well.
From the README file:
How do we handle categorical features? Is one-hot-encoding enough?
In UMAP you can use different distances for one-hot-encoded categorical features (e.g. dice, jaccard etc.) and continuous features, then you perform an "intersection" (see lmcinnes/umap#58).
How can we handle mixed type datasets in ivis? Can we just use it on a dataset with continuous features and one-hot-encoded categorical features mixed together?
Thank you very much
The text was updated successfully, but these errors were encountered: