Fixes divide by zero error / propagation problem #15635
Closed
Conversation
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
In the cases where none of the K neighbors of a given point have a label then normalizer equals 0 and generates divide by zero erros. This creates NaNs in the label distribution and blocks label propagation. By replacing 0 values of the normalizer by 1 this problem is avoided.
In the cases where none of the K neighbors of a given point have a label then normalizer equals 0 and generates divide by zero erros. This creates NaNs in the label distribution and blocks label propagation. By replacing 0 values of the normalizer by 1 this problem is avoided.
|
Please add a test. We may be slow to review as we are focusing on a release. Ping if necessary |
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Outdated suggestions cannot be applied.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.
In the cases where none of the K neighbors of a given point have a label then normalizer equals 0 and generates divide by zero erros. This creates NaNs in the label distribution and blocks label propagation.
By replacing 0 values of the normalizer by 1 this problem is avoided.
Reference Issues/PRs
What does this implement/fix? Explain your changes.
Any other comments?