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I'm finding that the order in which I present the points (X) in fit_transform matters. In other words, umap.UMAP(n_neighbors=45, min_dist=0.0, n_components=2, random_state=88).fit_transform(X) returns different results based on the ordering of X.
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I'm finding that the order in which I present the points (X) in
fit_transform
matters. In other words,umap.UMAP(n_neighbors=45, min_dist=0.0, n_components=2, random_state=88).fit_transform(X)
returns different results based on the ordering of X.Is that expected?
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