[ENH] Add "extratrees" for oblique trees #46

docs/whats_new/v0.1.rst

@@ -34,6 +34,7 @@ Changelog
 - |Feature| All tree types can compute similarity and dissimilarity matrices, by `Sambit Panda`_ and `Adam Li`_ (:pr:`64`)
 - |Feature| MORF trees now can normalize by feature weight per sample per feature column, by `Adam Li`_ (:pr:`67`)
 - |Feature| Implementation of ObliqueDecisionTreeRegressor, PatchObliqueDecisionTreeRegressor, ObliqueRandomForestRegressor, PatchObliqueRandomForestRegressor, by `SUKI-O`_ (:pr:`72`)
+- |Feature| Implementation of  ExtraObliqueDecisionTreeClassifier, ExtraObliqueDecisionTreeRegressor by `SUKI-O`_ (:pr:`75`)
 
 Code and Documentation Contributors
 -----------------------------------

sktree/__init__.py

@@ -42,6 +42,8 @@
             UnsupervisedObliqueRandomForest,
         )
         from .ensemble._supervised_forest import (
+            ExtraObliqueRandomForestClassifier,
+            # ExtraObliqueRandomForestRegressor,
             ObliqueRandomForestClassifier,
             ObliqueRandomForestRegressor,
             PatchObliqueRandomForestClassifier,
@@ -56,6 +58,8 @@
     __all__ = [
         "tree",
         "ensemble",
+        "ExtraObliqueRandomForestClassifier",
+        # "ExtraObliqueRandomForestRegressor",
         "ObliqueRandomForestClassifier",
         "ObliqueRandomForestRegressor",
         "PatchObliqueRandomForestClassifier",

sktree/ensemble/__init__.py

@@ -1,4 +1,5 @@
-from ._supervised_forest import (
+from ._supervised_forest import (  # ExtraObliqueRandomForestRegressor,
+    ExtraObliqueRandomForestClassifier,
     ObliqueRandomForestClassifier,
     ObliqueRandomForestRegressor,
     PatchObliqueRandomForestClassifier,