More robust digonal constant check#2173
Open
jessegrabowski wants to merge 4 commits into
Open
Conversation
Member
Author
|
I also upgraded the performance for checking diagonality. The cheapest thing me and mr. bot could come up with is to check if the number of nonzero entries in the matrix is equal to the number on the diagonal. If this is true, the matrix must be diagonal. This avoids allocation of a mask matrix, and seems to be a highly optimized numpy function (~2x speedup vs |
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
pymc-extras surfaced a small bug in _diagonal_from_constant, which used multiplication by a masking matrix to check for non-zero off-diagonal values. This raises a warning when there are non-finite values (inf/nan) in the matrix being checked. Use indexing instead to avoid the warnings.