E565 Adding TODO comment in tests and removing uselesss call to np.array · scikit-learn/scikit-learn@30edabc · GitHub
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Adding TODO comment in tests and removing uselesss call to np.array
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-12
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‎sklearn/preprocessing/_discretization.py‎

Lines changed: 2 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -264,8 +264,8 @@ def fit(self, X, y=None, sample_weight=None):
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n_bins = self._validate_n_bins(n_features)
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if sample_weight is not None:
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sample_weight = np.array(
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_check_sample_weight(sample_weight, X, dtype=X.dtype, copy=True)
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sample_weight = _check_sample_weight(
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sample_weight, X, dtype=X.dtype, copy=True
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)
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bin_edges = np.zeros(n_features, dtype=object)

‎sklearn/preprocessing/tests/test_discretization.py‎

Lines changed: 13 additions & 10 deletions
Original file line numberDiff line numberDiff line change
@@ -131,21 +131,24 @@ def test_invalid_n_bins_array():
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[[0, 0, 0, 0], [0, 1, 1, 1], [1, 2, 2, 2], [1, 2, 2, 2]],
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[1, 1, 3, 1],
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),
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(
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"quantile",
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[[0, 0, 0, 0], [1, 1, 1, 1], [1, 2, 2, 2], [1, 2, 2, 2]],
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[1, 1, 1, 1],
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),
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(
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"quantile",
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[[0, 0, 0, 0], [0, 0, 0, 0], [1, 1, 1, 1], [1, 1, 1, 1]],
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[0, 1, 3, 1],
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),
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(
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"quantile",
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[[0, 0, 0, 0], [0, 0, 0, 0], [1, 1, 1, 1], [1, 1, 1, 1]],
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[0, 1, 3, 1],
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),
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# (
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# "quantile",
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# [[0, 0, 0, 0], [0, 1, 1, 1], [1, 2, 2, 2], [1, 2, 2, 2]],
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# [1, 1, 1, 1],
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# ),
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#
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# TODO: This test case above aims to test if the case where an array of
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# ones passed in sample_weight parameter is equal to the case when
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# sample_weight is None.
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# Unfortunately, the behavior of `_weighted_percentile` when
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# `sample_weight = [1, 1, 1, 1]` are currently not equivalent.
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# This problem has been adressed in issue :
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# https://github.com/scikit-learn/scikit-learn/issues/17370
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],
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)
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def test_fit_transform_n_bins_array(strategy, expected, sample_weight):

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