Make the default value of n_features match the khiops core value

- KhiopsClassifier, KhiopsRegressor, KhiopsEncoder

Author: Thierry RAMORASOAVINA

CHANGELOG.md

@@ -6,6 +6,11 @@
   - Example: 10.2.1.4 is the 5th version that supports khiops 10.2.1.
 - Internals: Changes in *Internals* sections are unlikely to be of interest for data scientists.
 
+## Unreleased
+
+# Fixed
+- (`sklearn`) Default value of `n_features` for the supervised estimators
+
 ## 11.0.0.2 - 2026-01-26
 
 ## Fixed

khiops/sklearn/estimators.py

@@ -1188,7 +1188,7 @@ class KhiopsSupervisedEstimator(KhiopsEstimator):
 
     def __init__(
         self,
-        n_features=100,
+        n_features=1000,
         n_trees=10,
         n_text_features=10000,
         type_text_features="words",
@@ -1504,7 +1504,7 @@ class KhiopsPredictor(KhiopsSupervisedEstimator):
 
     def __init__(
         self,
-        n_features=100,
+        n_features=1000,
         n_trees=10,
         n_text_features=10000,
         type_text_features="words",
@@ -1645,7 +1645,7 @@ class KhiopsClassifier(ClassifierMixin, KhiopsPredictor):
 
     Parameters
     ----------
-    n_features : int, default 100
+    n_features : int, default 1000
         Maximum number of features to construct automatically. See
         :doc:`/multi_table_primer` for more details on the multi-table-specific
         features.
@@ -1734,7 +1734,7 @@ class KhiopsClassifier(ClassifierMixin, KhiopsPredictor):
 
     def __init__(
         self,
-        n_features=100,
+        n_features=1000,
         n_pairs=0,
         n_trees=10,
         n_text_features=10000,
@@ -2060,7 +2060,7 @@ class KhiopsRegressor(RegressorMixin, KhiopsPredictor):
 
     Parameters
     ----------
-    n_features : int, default 100
+    n_features : int, default 1000
         Maximum number of features to construct automatically. See
         :doc:`/multi_table_primer` for more details on the multi-table-specific
         features.
@@ -2122,7 +2122,7 @@ class KhiopsRegressor(RegressorMixin, KhiopsPredictor):
 
     def __init__(
         self,
-        n_features=100,
+        n_features=1000,
         n_trees=0,
         n_text_features=10000,
         type_text_features="words",
@@ -2262,7 +2262,7 @@ class KhiopsEncoder(TransformerMixin, KhiopsSupervisedEstimator):
     ----------
     categorical_target : bool, default ``True``
         ``True`` if the target column is categorical.
-    n_features : int, default 100
+    n_features : int, default 1000
         Maximum number of features to construct automatically. See
         :doc:`/multi_table_primer` for more details on the multi-table-specific
         features.
@@ -2366,7 +2366,7 @@ class KhiopsEncoder(TransformerMixin, KhiopsSupervisedEstimator):
     def __init__(
         self,
         categorical_target=True,
-        n_features=100,
+        n_features=1000,
         n_pairs=0,
         n_trees=0,
         n_text_features=10000,

tests/test_sklearn.py

@@ -753,6 +753,7 @@ def setUpClass(cls):
                                 "field_separator": "\t",
                                 "detect_format": False,
                                 "header_line": True,
+                                "max_constructed_variables": 1000,
                                 "max_pairs": 1,
                                 "max_trees": 5,
                                 "max_text_features": 300000,
@@ -784,6 +785,7 @@ def setUpClass(cls):
                                 "field_separator": "\t",
                                 "detect_format": False,
                                 "header_line": True,
+                                "max_constructed_variables": 1000,
                                 "max_trees": 0,
                                 "max_text_features": 300000,
                                 "text_features": "ngrams",
@@ -811,6 +813,7 @@ def setUpClass(cls):
                                 "field_separator": "\t",
                                 "detect_format": False,
                                 "header_line": True,
+                                "max_constructed_variables": 1000,
                                 "max_pairs": 1,
                                 "max_trees": 5,
                                 "max_text_features": 300000,