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Fixes issue #12108: Ridge regression #12258

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Describe your change:

  • 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 Add Ridge Regression to Machine Learning #12108 ".

@algorithms-keeper algorithms-keeper bot added the require descriptive names This PR needs descriptive function and/or variable names label Oct 24, 2024
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Click here to look at the relevant links ⬇️

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self.theta: np.ndarray = None

def feature_scaling(
self, x: np.ndarray

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Please provide descriptive name for the parameter: x

x_scaled = (x - mean) / std
return x_scaled, mean, std

def fit(self, x: np.ndarray, y: np.ndarray) -> None:

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Please provide descriptive name for the parameter: x

Please provide descriptive name for the parameter: y

) / m
self.theta -= self.alpha * gradient # updating weights

def predict(self, x: np.ndarray) -> np.ndarray:

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Please provide descriptive name for the parameter: x

x_scaled, _, _ = self.feature_scaling(x)
return x_scaled.dot(self.theta)

def compute_cost(self, x: np.ndarray, y: np.ndarray) -> float:

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Please provide descriptive name for the parameter: x

Please provide descriptive name for the parameter: y

@algorithms-keeper algorithms-keeper bot added awaiting reviews This PR is ready to be reviewed tests are failing Do not merge until tests pass labels Oct 24, 2024
@ankana2113 ankana2113 closed this Oct 24, 2024
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Add Ridge Regression to Machine Learning
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