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Add KL divergence loss function in machine_learning loss algorithms - #656

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siriak merged 1 commit into
TheAlgorithms:masterfrom
avats-dev:kl-div
Jan 9, 2024
Merged

siriak merged 1 commit into
TheAlgorithms:masterfrom
avats-dev:kl-div

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Description

#559

This PR adds KL Divergence loss in machine learning loss functions module.

Type of change

Please delete options that are not relevant.

  • Bug fix (non-breaking change which fixes an issue)
  • New feature (non-breaking change which adds functionality)
  • Breaking change (fix or feature that would cause existing functionality to not work as expected)

Checklist:

  • I ran bellow commands using the latest version of rust nightly.
  • I ran cargo clippy --all -- -D warnings just before my last commit and fixed any issue that was found.
  • I ran cargo fmt just before my last commit.
  • I ran cargo test just before my last commit and all tests passed.
  • I added my algorithm to the corresponding mod.rs file within its own folder, and in any parent folder(s).
  • I added my algorithm to DIRECTORY.md with the correct link.
  • I checked COUNTRIBUTING.md and my code follows its guidelines.

Please make sure that if there is a test that takes too long to run ( > 300ms), you #[ignore] that or
try to optimize your code or make the test easier to run. We have this rule because we have hundreds of
tests to run; If each one of them took 300ms, we would have to wait for a long time.

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Looks good, thanks!

@siriak
siriak merged commit 9e41aad into TheAlgorithms:master Jan 9, 2024
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2 participants