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then you can find the number of neighbors via iris_umap$n_neighbors. Unfortunately, neither min_dist nor spread are saved in the model. The related a and b parameters are available via iris_umap$a and iris_umap$b. If the actual value of min_dist isn't that important then you could roughly back-convert it by converting a look up table like:
which will give you the a, b parameters for min_dist = 0.1, 0.001, 0.0001 in this example (use whatever range of min_dist will give you the required accuracy). I am assuming that spread is left at its default value of spread = 1.
I could add min_dist and spread to the return value of umap for a future release if that would be helpful.
How do you retrieve the min_dist and n.neighbors input parameter values from a umap object?
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