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"""Internal helpers that bridge behavioural differences between scikit-learn versions. |
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Import *private* scikit-learn symbols **only** here and nowhere else. |
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Copyright: Hyperactive contributors |
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License: MIT |
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""" |
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from __future__ import annotations |
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import warnings |
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from typing import Any |
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import sklearn |
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from packaging import version |
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from sklearn.utils.validation import indexable |
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_SK_VERSION = version.parse(sklearn.__version__) |
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def _safe_validate_X_y(estimator, X, y): |
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""" |
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Version-independent replacement for naive validate_data(X, y). |
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• Ensures X is 2-D. |
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• Allows y to stay 1-D (required by scikit-learn >=1.7 checks). |
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• Uses BaseEstimator._validate_data when available so that |
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estimator tags and sample-weight checks keep working. |
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""" |
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X, y = indexable(X, y) |
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if hasattr(estimator, "_validate_data"): |
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return estimator._validate_data( |
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X, |
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y, |
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validate_separately=( |
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{"ensure_2d": True}, # parameters for X |
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{"ensure_2d": False}, # parameters for y |
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), |
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) |
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# Fallback for very old scikit-learn versions (<0.23) |
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from sklearn.utils.validation import check_X_y |
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return check_X_y(X, y, ensure_2d=True) |
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def _safe_refit(estimator, X, y, fit_params): |
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if estimator.refit: |
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estimator._refit(X, y, **fit_params) |
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# make the wrapper itself expose n_features_in_ |
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if hasattr(estimator.best_estimator_, "n_features_in_"): |
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estimator.n_features_in_ = estimator.best_estimator_.n_features_in_ |
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else: |
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# Even when `refit=False` we must satisfy the contract |
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estimator.n_features_in_ = X.shape[1] |
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# Replacement for `_deprecate_Xt_in_inverse_transform` |
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if _SK_VERSION < version.parse("1.7"): |
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# Still exists → re-export |
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from sklearn.utils.deprecation import _deprecate_Xt_in_inverse_transform |
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else: |
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# Removed in 1.7 - provide drop-in replacement |
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def _deprecate_Xt_in_inverse_transform( # noqa: N802 keep sklearn's name |
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X: Any | None, |
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Xt: Any | None, |
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): |
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"""Handle deprecation of Xt parameter in inverse_transform. |
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scikit-learn ≤1.6 accepted both the old `Xt` parameter and the new |
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`X` parameter for `inverse_transform`. When only `Xt` is given we |
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return `Xt` and raise a deprecation warning (same behaviour that |
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scikit-learn had before 1.7); otherwise we return `X`. |
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""" |
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if Xt is not None: |
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warnings.warn( |
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"'Xt' was deprecated in scikit-learn 1.2 and has been " |
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"removed in 1.7; use the positional argument 'X' instead.", |
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FutureWarning, |
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stacklevel=2, |
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) |
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return Xt |
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return X |
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# Replacement for `_check_method_params` |
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try: |
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from sklearn.utils.validation import _check_method_params # noqa: F401 |
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except ImportError: # fallback for future releases |
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def _check_method_params( # type: ignore[override] # noqa: N802 |
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X, |
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params: dict[str, Any], |
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): |
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# passthrough - rely on estimator & indexable for validation |
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return params |
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__all__ = [ |
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"_deprecate_Xt_in_inverse_transform", |
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"_check_method_params", |
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] |
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SimonBlanke /
Hyperactive
