Added 3 new classification metrics.#150
Open
gaga1313 wants to merge 6 commits into
Open
Conversation
gaga1313
force-pushed
the
classification_metrics
branch
from
a5e5a80 to
0ff22c1
Compare
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
1 participant
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
This PR adds three new core classification accuracy metrics to metrax (BinaryAccuracy, CategoricalAccuracy, and SparseCategoricalAccuraacy) ensuring parity with reference implementations in keras.metrics.
Added parameterized test suites validating exact numerical parity against keras.metrics across float16, float32, and bfloat16 with weighted/unweighted samples and threshold bounds (0.1, 0.5, 0.7)