[ENH] Implement Proximity Tree classifier using aeon distances (#1566)

* Yet to be wrapped by numba * Added gini scores * Initial logic for tree * get best splitter * Minor typo * build_tree method implemented * predict method * Completed the proximity tree * random_state and staticmethod * predict and predict_proba * tests for gini and gini_gain * test parameter value * Fixing random state * Fix recursion base case * Completed API * Completed API * Test case pass * Improve API * Minor corrections * Test for accuracy and pytest fixture * Improve API and code cov * Comment at the top of the file * Capability to handle 3d arrays * Capability to handle 3d arrays * Added API Reference --------- Co-authored-by: Matthew Middlehurst <[email protected]>
aeon-toolkit · Jun 27, 2024 · fd27e7f · fd27e7f
1 parent 72ef471
commit fd27e7f
Show file tree

Hide file tree

Showing 4 changed files with 679 additions and 4 deletions.
diff --git a/aeon/classification/distance_based/__init__.py b/aeon/classification/distance_based/__init__.py
@@ -1,11 +1,9 @@
 """Distance based time series classifiers."""
 
-__all__ = [
-    "ElasticEnsemble",
-    "KNeighborsTimeSeriesClassifier",
-]
+__all__ = ["ElasticEnsemble", "KNeighborsTimeSeriesClassifier", "ProximityTree"]
 
 from aeon.classification.distance_based._elastic_ensemble import ElasticEnsemble
+from aeon.classification.distance_based._proximity_tree import ProximityTree
 from aeon.classification.distance_based._time_series_neighbors import (
     KNeighborsTimeSeriesClassifier,
 )