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Added mean absolute error in linear regression #7003

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KushagraMakharia
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Describe your change:

  • Add an algorithm?
  • Fix a bug or typo in an existing algorithm?
  • 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 have a URL in its comments that points to Wikipedia or other similar explanation.
  • If this pull request resolves one or more open issues then the commit message contains Fixes: #{$ISSUE_NO}.

@algorithms-keeper algorithms-keeper bot added enhancement This PR modified some existing files awaiting reviews This PR is ready to be reviewed labels Oct 11, 2022
@@ -87,6 +87,19 @@ def run_linear_regression(data_x, data_y):
return theta


def mean_absolute_error(pred_X, org_X):
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Please provide more descriptive variable names and use snake_case

Comment on lines 92 to 94
:param pred_X : contains the output (result vector)
:param org_X : contains our dataset
:return : mean absolute error computed from given feature's
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As long as parameter names are more descriptive, the names should explain themselves

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@CaedenPH CaedenPH left a comment

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@cclauss Looks good - perhaps you commit my changes

Co-authored-by: Caeden Perelli-Harris <[email protected]>
@cclauss cclauss merged commit 69d04ff into TheAlgorithms:master Oct 30, 2022
@algorithms-keeper algorithms-keeper bot removed the awaiting reviews This PR is ready to be reviewed label Oct 30, 2022
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3 participants