8000 MAINT Parameters validation for datasets.make_hastie_10_2 (#25967) · scikit-learn/scikit-learn@b75b5aa · GitHub
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Théophile Baranger
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MAINT Parameters validation for datasets.make_hastie_10_2 (#25967)
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‎sklearn/datasets/_samples_generator.py‎

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@@ -476,6 +476,12 @@ def sample_example():
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return X, Y
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@validate_params(
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{
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"n_samples": [Interval(Integral, 1, None, closed="left")],
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"random_state": ["random_state"],
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}
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)
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def make_hastie_10_2(n_samples=12000, *, random_state=None):
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"""Generate data for binary classification used in Hastie et al. 2009, Example 10.2.
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‎sklearn/tests/test_public_functions.py‎

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@@ -133,6 +133,7 @@ def _check_function_param_validation(
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"sklearn.datasets.make_classification",
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"sklearn.datasets.make_friedman1",
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"sklearn.datasets.make_gaussian_quantiles",
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"sklearn.datasets.make_hastie_10_2",
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"sklearn.datasets.make_low_rank_matrix",
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"sklearn.datasets.make_multilabel_classification",
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"sklearn.datasets.make_regression",

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