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Currently, the standard knockoffs are generated from a (potentially) positive semi-definite covariance matrix, and as a result we can end up with trivial knockoffs (i.e. identical copies of the vectors in the embedding space).
This issue concerns:
Printing the number of trivial knockoffs generated.
Using more complex algorithms to generate a positive definite covariance matrix, and as a result avoid the issue of trivial knockoffs.
The text was updated successfully, but these errors were encountered:
Currently, the standard knockoffs are generated from a (potentially) positive semi-definite covariance matrix, and as a result we can end up with trivial knockoffs (i.e. identical copies of the vectors in the embedding space).
This issue concerns:
The text was updated successfully, but these errors were encountered: