10000 [MRG] Normalize linear_model decision_function scores. by stootoon · Pull Request #19142 · scikit-learn/scikit-learn · GitHub
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[MRG] Normalize linear_model decision_function scores. #19142

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Merged
merged 6 commits into from
Jan 13, 2021
Merged

[MRG] Normalize linear_model decision_function scores. #19142

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7f2dd1b
Use unit-norm coefs to compute scores.
stootoon Jan 10, 2021
5423c45
Intercepts must be normalized as well.
stootoon Jan 10, 2021
15b3be1
Removed whitespace causing linting issues.
stootoon Jan 11, 2021
d7dee06
Removed more whitespace.
stootoon Jan 11, 2021
66afe00
Merge remote-tracking branch 'upstream/master' into linear_model_deci…
stootoon Jan 11, 2021
9b613ed
Updated docstring to correct relationship of decision_function to hyp…
stootoon Jan 12, 2021
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4 changes: 2 additions & 2 deletions sklearn/linear_model/_base.py
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Expand Up @@ -266,8 +266,8 @@ def decision_function(self, X):
"""
Predict confidence scores for samples.

The confidence score for a sample is the signed distance of that
sample to the hyperplane.
The confidence score for a sample is proportional to the signed
distance of that sample to the hyperplane.

Parameters
----------
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