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DOC Fixes make_regression make_multilabel_classification #22784

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Merged
merged 2 commits into from
Mar 12, 2022
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DOC Fixes make_regression make_multilabel_classification #22784

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f6ccb2d
fix sklearn.datasets._samples_generator.make_multilabel_classificatio…
mathieu-sabatier Mar 12, 2022
b296256
fix make_regression sample generator numpydoc
mathieu-sabatier Mar 12, 2022
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7 changes: 3 additions & 4 deletions sklearn/datasets/_samples_generator.py
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Original file line number Diff line number Diff line change
Expand Up @@ -340,7 +340,7 @@ def make_multilabel_classification(
If ``True``, some instances might not belong to any class.

sparse : bool, default=False
If ``True``, return a sparse feature matrix
If ``True``, return a sparse feature matrix.

.. versionadded:: 0.17
parameter to allow *sparse* output.
Expand Down Expand Up @@ -375,7 +375,6 @@ def make_multilabel_classification(
p_w_c : ndarray of shape (n_features, n_classes)
The probability of each feature being drawn given each class.
Only returned if ``return_distributions=True``.

"""
if n_classes < 1:
raise ValueError(
Expand Down Expand Up @@ -549,12 +548,12 @@ def make_regression(
The bias term in the underlying linear model.

effective_rank : int, default=None
if not None:
If not None:
The approximate number of singular vectors required to explain most
of the input data by linear combinations. Using this kind of
singular spectrum in the input allows the generator to reproduce
the correlations often observed in practice.
if None:
If None:
The input set is well conditioned, centered and gaussian with
unit variance.

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2 changes: 0 additions & 2 deletions sklearn/tests/test_docstrings.py
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Expand Up @@ -23,8 +23,6 @@
"sklearn.datasets._samples_generator.make_biclusters",
"sklearn.datasets._samples_generator.make_classification",
"sklearn.datasets._samples_generator.make_gaussian_quantiles",
"sklearn.datasets._samples_generator.make_multilabel_classification",
"sklearn.datasets._samples_generator.make_regression",
"sklearn.datasets._samples_generator.make_sparse_coded_signal",
"sklearn.datasets._samples_generator.make_spd_matrix",
"sklearn.datasets._species_distributions.fetch_species_distributions",
Expand Down