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Documentation improvement #13904

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Merged
merged 5 commits into from
May 20, 2019
Merged

Documentation improvement #13904

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56c0af9
fixes #13791, new documentation for categories parameter of OneHotEnc…
rick2047 May 15, 2019
e65f0bf
fixes #13881, clearer definition of fbeta_score
rick2047 May 15, 2019
9d2e293
fix flake8 issues
rick2047 May 18, 2019
fe9e6e5
fix flake8 issues with deprecation warning
rick2047 May 19, 2019
4cf1b82
another try to fix flake8 issues in onehot documentation
rick2047 May 19, 2019
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2 changes: 1 addition & 1 deletion sklearn/metrics/classification.py
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Expand Up @@ -1066,7 +1066,7 @@ def fbeta_score(y_true, y_pred, beta, labels=None, pos_label=1,
The F-beta score is the weighted harmonic mean of precision and recall,
reaching its optimal value at 1 and its worst value at 0.

The `beta` parameter determines the weight of precision in the combined
The `beta` parameter determines the weight of recall in the combined
score. ``beta < 1`` lends more weight to precision, while ``beta > 1``
favors recall (``beta -> 0`` considers only precision, ``beta -> inf``
only recall).
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3 changes: 2 additions & 1 deletion sklearn/preprocessing/_encoders.py
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Expand Up @@ -367,7 +367,8 @@ def _handle_deprecations(self, X):
msg = (
"Passing 'n_values' is deprecated in version 0.20 and will be "
"removed in 0.22. You can use the 'categories' keyword "
"instead. 'n_values=n' corresponds to 'categories=[range(n)]'."
"instead. 'n_values=n' corresponds to "
"'categories=[range(n)] * n_features'."
)
warnings.warn(msg, DeprecationWarning)
self._legacy_mode = True
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