DOC Linked examples for LDA and QDA in their docstrings (#26927) #28611
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betatim
reviewed
Mar 11, 2024
sklearn/discriminant_analysis.py
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| @@ -222,6 +226,9 @@ class LinearDiscriminantAnalysis( | |||
| This should be left to None if `covariance_estimator` is used. | |||
| Note that shrinkage works only with 'lsqr' and 'eigen' solvers. | |||
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| For an example usage, see | |||
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Suggested change
| For an example usage, see | |
| For a usage example, see |
I'd rewrite this like this
betatim
reviewed
Mar 11, 2024
sklearn/discriminant_analysis.py
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| @@ -232,6 +239,9 @@ class LinearDiscriminantAnalysis( | |||
| min(n_classes - 1, n_features). This parameter only affects the | |||
| `transform` method. | |||
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| For an example usage for dimensionality reduction, see | |||
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Suggested change
| For an example usage for dimensionality reduction, see | |
| For a usage example, see |
I'd rewrite this like this
betatim
reviewed
Mar 11, 2024
|
Thank you for the feedback. I've made the updates. |
glemaitre
approved these changes
Mar 14, 2024
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Reference Issues/PRs
Adds links to examples/classification mentioned in #26927
What does this implement/fix? Explain your changes.
Adds links to auto-generated examples for classes
LinearDiscriminantAnalysisandQuadraticDiscriminantAnalysisAny other comments?
Examples linked:
examples/classificationplot_lda.pyplot_lda_qda.pyexamples/decompositionplot_pca_vs_lda.py