8000 WIP: Deprecate 'normalize' in Linear Models by maikia · Pull Request #17720 · scikit-learn/scikit-learn · GitHub
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WIP: Deprecate 'normalize' in Linear Models #17720

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@maikia maikia commented Jun 25, 2020

closes #3020

Currently there are 22 Linear Models which use parameter 'normalize' and 'fit_intercept':

  1. Lasso
  2. LassoLars
  3. Lars
  4. LinearRegression
  5. BayesianRidge
  6. ARDRegression
  7. OrthogonalMatchingPursuit
  8. LassoLarsIC
  9. ElasticNet
  10. Ridge
  11. MultiTaskElasticNet
  12. MultiTaskLasso
  13. RidgeClassifier
  14. LassoCV
  15. LarsCV
  16. LassoLarsCV
  17. OrthogonalMatchingPursuitCV
  18. ElasticNetCV
  19. RidgeCV
  20. MultiTaskElasticNetCV
  21. MultiTaskLassoCV
  22. RidgeClassifierCV

However, when 'fit_intercept' is set to False 'normalize' is not considered.
This PR deprecates 'normalize' in all of the above models (as decided in issue #3020)

@maikia maikia changed the title WIP: Depreciate normalize in Linear Models WIP: Depreciate 'normalize' in Linear Models Jun 25, 2020
@maikia maikia changed the title WIP: Depreciate 'normalize' in Linear Models WIP: Deprecate 'normalize' in Linear Models Jun 25, 2020
@maikia maikia closed this Jun 26, 2020
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Normalize only applies if fit_intercept=True
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