prepare release 2.6.1

Author: PaulWestenthanner

CHANGELOG.md

@@ -1,12 +1,16 @@
 unreleased
 ==========
 
+v2.6.1
+======
 * added: ignore option for one-hot-encoding
 * fixed: external dependency in unit test
 * fixed: gaps in ordinal encoding if nan values are present
-* fixed: sklearn complicance: add `feature_names_in_` attribute
+* fixed: sklearn compliance: add `feature_names_in_` attribute
+* fixed: sklearn compliance: `get_feature_names_out` function has the correct signature
 * fixed: add RankHotEncoder in documentation
 * fixed: return correct mapping in one hot encoder `category_mapping` property (issue #256)
+* refactor: quadratic runtime in ordinal encoder (issue #407)
 
 v2.6.0
 ======

category_encoders/__init__.py

@@ -28,7 +28,7 @@
 from category_encoders.quantile_encoder import QuantileEncoder, SummaryEncoder
 
 
-__version__ = '2.6.0'
+__version__ = '2.6.1'
 
 __author__ = "willmcginnis", "cmougan", "paulwestenthanner"
 

category_encoders/ordinal.py

@@ -229,7 +229,8 @@ def ordinal_encoding(X_in, mapping=None, cols=None, handle_unknown='value', hand
                 if util.is_category(X[col].dtype):
                     # Avoid using pandas category dtype meta-data if possible, see #235, #238.
                     if X[col].dtype.ordered:
-                        categories = [c for c in X[col].dtype.categories if c in categories]
+                        category_set = set(categories)  # convert to set for faster membership checks c.f. #407
+                        categories = [c for c in X[col].dtype.categories if c in category_set]
                     if X[col].isna().any():
                         categories += [np.nan]