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534 add missing attributes to khiopsregressor #541

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233433d
Document missing attributes on KhiopsRegressor
popescu-v Jan 27, 2026
851d504
Drop spurious warning that trees are not supported for regression
popescu-v Jan 27, 2026
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14 changes: 12 additions & 2 deletions khiops/sklearn/estimators.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2064,6 +2064,18 @@ class KhiopsRegressor(RegressorMixin, KhiopsPredictor):
Maximum number of features to construct automatically. See
:doc:`/multi_table_primer` for more details on the multi-table-specific
features.
n_trees : int, default 10
Maximum number of decision tree features to construct. The constructed trees
combine other features, either native or constructed. These features usually
improve the regressor's performance at the cost of interpretability of the
model.
n_text_features : int, default 10000
Maximum number of text features to construct.
type_text_features : str, default "words"
Type of the text features to construct. Can be either one of:
- "words": sequences of non-space characters
- "ngrams": sequences of bytes
- "tokens": user-defined
n_selected_features : int, default 0
Maximum number of features to be selected in the SNB predictor. If equal to
0 it selects all the features kept in the training.
Expand Down Expand Up @@ -2160,8 +2172,6 @@ def fit(self, X, y=None, **kwargs):
self : `KhiopsRegressor`
The calling estimator instance.
"""
if self.n_trees > 0:
warnings.warn("Khiops does not support n_trees > 0 for regression models.")
kwargs["categorical_target"] = False
return super().fit(X, y=y, **kwargs)

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