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Hello!
operation rips.fit_transform(data) gives me INF value in the last row of first distribution. Could I substitute is with a big value or it is stupid? Will I loose something important? After this operation I want to use persim.sliced_wasserstein, as a result I get NAN value, it is because of INF value.
Thank you in advance!
The text was updated successfully, but these errors were encountered:
Hello!
operation rips.fit_transform(data) gives me INF value in the last row of first distribution. Could I substitute is with a big value or it is stupid? Will I loose something important? After this operation I want to use persim.sliced_wasserstein, as a result I get NAN value, it is because of INF value.
Thank you in advance!
The text was updated successfully, but these errors were encountered: