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Looking for most efficient way to run transform()
We're storing the results of umap.fit by pickling the umap object. I see this saves all the training ("raw") data, which is creating files close to 1 GB for our training data. Is there a way or mode to only save something much smaller, like just the embedding, or just the reduced training data, etc, to enable calling transform() with new samples?