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Add smooth l1 loss algorithm #11239

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merged 1 commit into from
Jan 30, 2024

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ZJUGuoShuai
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Describe your change:

  • The Smooth L1 Loss is less sensitive to outliers than the L2 Loss and is often used in regression problems, such as object detection.
  • Add an algorithm?
  • Fix a bug or typo in an existing algorithm?
  • Add or change doctests? -- Note: Please avoid changing both code and tests in a single pull request.
  • Documentation change?

Checklist:

  • I have read CONTRIBUTING.md.
  • This pull request is all my own work -- I have not plagiarized.
  • I know that pull requests will not be merged if they fail the automated tests.
  • This PR only changes one algorithm file. To ease review, please open separate PRs for separate algorithms.
  • All new Python files are placed inside an existing directory.
  • All filenames are in all lowercase characters with no spaces or dashes.
  • All functions and variable names follow Python naming conventions.
  • All function parameters and return values are annotated with Python type hints.
  • All functions have doctests that pass the automated testing.
  • All new algorithms include at least one URL that points to Wikipedia or another similar explanation.
  • If this pull request resolves one or more open issues then the description above includes the issue number(s) with a closing keyword: "Fixes #ISSUE-NUMBER".

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@QuantumNovice QuantumNovice left a comment

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Good work!!

@cclauss can I request review?

@cclauss cclauss enabled auto-merge (squash) January 30, 2024 08:17
@cclauss cclauss merged commit c1d29ba into TheAlgorithms:master Jan 30, 2024
sedatguzelsemme pushed a commit to sedatguzelsemme/Python that referenced this pull request Sep 15, 2024
@isidroas isidroas mentioned this pull request Jan 25, 2025
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3 participants