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FIX Target encoder const y #28233

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Merged
thomasjpfan merged 10 commits into from
Feb 2, 2024
Merged

FIX Target encoder const y #28233

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7d9fafb
Quick fix.
s-banach Jan 23, 2024
14f4255
fix test
Jan 23, 2024
31bfdc8
Change pandas config in context manager
s-banach Jan 26, 2024
8b91110
Merge branch 'main' into TargetEncoder-const-Y
s-banach Jan 31, 2024
056b767
Black format test (Whoops!)
s-banach Feb 1, 2024
ef73bd9
Rename test, add pandas minversion to importorskip
s-banach Feb 2, 2024
3dbc6af
Update v1.4.rst
s-banach Feb 2, 2024
82fa733
fix: use suggested test name
s-banach Feb 2, 2024
79ccd8f
Waste more compute money for a spelling error
s-banach Feb 2, 2024
abca02b
Update doc/whats_new/v1.4.rst
s-banach Feb 2, 2024
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9 changes: 9 additions & 0 deletions doc/whats_new/v1.4.rst
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Expand Up @@ -105,6 +105,15 @@ Changelog
and `axis=1`, as documented in the docstring.
:pr:`28222` by :user:`Guillaume Lemaitre <glemaitre>`.


:mod:`sklearn.preprocessing`
............................

- |Fix| :class:`preprocessing.TargetEncoder` no longer fails when
`target_type="continuous"` and the input is read-only. In particular, it now
works with pandas copy-on-write mode enabled.
:pr:`28233` by :user:`John Hopfensperger <s-banach>`.

.. _changes_1_4:

Version 1.4.0
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4 changes: 2 additions & 2 deletions sklearn/preprocessing/_target_encoder_fast.pyx
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Expand Up @@ -19,7 +19,7 @@ ctypedef fused Y_DTYPE:

def _fit_encoding_fast(
INT_DTYPE[:, ::1] X_int,
Y_DTYPE[:] y,
const Y_DTYPE[:] y,
cnp.int64_t[::1] n_categories,
double smooth,
double y_mean,
Expand Down Expand Up @@ -79,7 +79,7 @@ def _fit_encoding_fast(

def _fit_encoding_fast_auto_smooth(
INT_DTYPE[:, ::1] X_int,
Y_DTYPE[:] y,
const Y_DTYPE[:] y,
cnp.int64_t[::1] n_categories,
double y_mean,
double y_variance,
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13 changes: 13 additions & 0 deletions sklearn/preprocessing/tests/test_target_encoder.py
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Expand Up @@ -701,3 +701,16 @@ def test_target_encoding_for_linear_regression(smooth, global_random_seed):
# cardinality yet non-informative feature instead of the lower
# cardinality yet informative feature:
assert abs(coef[0]) < abs(coef[2])


def test_pandas_copy_on_write():
"""
Test target-encoder cython code when y is read-only.

The numpy array underlying df["y"] is read-only when copy-on-write is enabled.
Non-regression test for gh-27879.
"""
pd = pytest.importorskip("pandas", minversion="2.0")
with pd.option_context("mode.copy_on_write", True):
df = pd.DataFrame({"x": ["a", "b", "b"], "y": [4.0, 5.0, 6.0]})
TargetEncoder(target_type="continuous").fit(df[["x"]], df["y"])