From 233433d99aa8936e5e7d60534a6ed727e0fadde8 Mon Sep 17 00:00:00 2001
From: Popescu V <136721202+popescu-v@users.noreply.github.com>
Date: Tue, 27 Jan 2026 16:28:06 +0100
Subject: [PATCH 1/2] Document missing attributes on KhiopsRegressor

Namely, n_trees, n_text_features and type_text_features.
---
 khiops/sklearn/estimators.py | 12 ++++++++++++
 1 file changed, 12 insertions(+)

diff --git a/khiops/sklearn/estimators.py b/khiops/sklearn/estimators.py
index 426531fb..e941f814 100644
--- a/khiops/sklearn/estimators.py
+++ b/khiops/sklearn/estimators.py
@@ -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.

From 851d5049a33d01f3e0d4e8d606617cd8701621bd Mon Sep 17 00:00:00 2001
From: Popescu V <136721202+popescu-v@users.noreply.github.com>
Date: Tue, 27 Jan 2026 16:37:09 +0100
Subject: [PATCH 2/2] Drop spurious warning that trees are not supported for
 regression

KhiopsRegressor fully supports the `n_trees` attribute.
---
 khiops/sklearn/estimators.py | 2 --
 1 file changed, 2 deletions(-)

diff --git a/khiops/sklearn/estimators.py b/khiops/sklearn/estimators.py
index e941f814..3ad6776b 100644
--- a/khiops/sklearn/estimators.py
+++ b/khiops/sklearn/estimators.py
@@ -2172,8 +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)