[ENH] Refactor BinSegSegmenter to BinSegmenter

aeon/segmentation/__init__.py

@@ -2,7 +2,7 @@
 
 __all__ = [
     "BaseSegmenter",
-    "BinSegSegmenter",
+    "BinSegmenter",
     "FLUSSSegmenter",
     "ClaSPSegmenter",
     "find_dominant_window_sizes",
@@ -15,7 +15,7 @@
     "HidalgoSegmenter",
 ]
 
-from aeon.segmentation._binseg import BinSegSegmenter
+from aeon.segmentation._binseg import BinSegmenter
 from aeon.segmentation._clasp import ClaSPSegmenter, find_dominant_window_sizes
 from aeon.segmentation._eagglo import EAggloSegmenter
 from aeon.segmentation._fluss import FLUSSSegmenter

aeon/segmentation/_binseg.py

@@ -1,15 +1,15 @@
 """BinSeg (Binary segmentation) Segmenter."""
 
 __maintainer__ = []
-__all__ = ["BinSegSegmenter"]
+__all__ = ["BinSegmenter"]
 
 import numpy as np
 import pandas as pd
 
 from aeon.segmentation.base import BaseSegmenter
 
 
-class BinSegSegmenter(BaseSegmenter):
+class BinSegmenter(BaseSegmenter):
     """BinSeg (Binary Segmentation) Segmenter.
 
     From the Ruptures documentation:
@@ -46,10 +46,10 @@ class BinSegSegmenter(BaseSegmenter):
 
     Examples
     --------
-    >>> from aeon.segmentation import BinSegSegmenter
+    >>> from aeon.segmentation import BinSegmenter
     >>> from aeon.datasets import load_gun_point_segmentation
     >>> X, true_period_size, cps = load_gun_point_segmentation()
-    >>> binseg = BinSegSegmenter(n_cps=1)  # doctest: +SKIP
+    >>> binseg = BinSegmenter(n_cps=1)  # doctest: +SKIP
     >>> found_cps = binseg.fit_predict(X)  # doctest: +SKIP
     """
 

aeon/segmentation/tests/test_binseg.py

@@ -6,7 +6,7 @@
 import pytest
 
 from aeon.datasets import load_gun_point_segmentation
-from aeon.segmentation import BinSegSegmenter
+from aeon.segmentation import BinSegmenter
 from aeon.utils.validation._dependencies import _check_soft_dependencies
 
 
@@ -23,7 +23,7 @@ def test_binseg_sparse():
     ts, _, cps = load_gun_point_segmentation()
 
     # compute a BinSeg segmentation
-    binseg = BinSegSegmenter(n_cps=1)
+    binseg = BinSegmenter(n_cps=1)
     found_cps = binseg.fit_predict(ts)
 
     assert len(found_cps) == 1 and found_cps[0] == 1870

aeon/testing/testing_config.py

@@ -56,7 +56,7 @@
     "GreedyGaussianSegmenter": ["check_non_state_changing_method"],
     "ClaSPSegmenter": ["check_non_state_changing_method"],
     "HMMSegmenter": ["check_non_state_changing_method"],
-    "BinSegSegmenter": ["check_non_state_changing_method"],
+    "BinSegmenter": ["check_non_state_changing_method"],
     "QUANTTransformer": ["check_non_state_changing_method"],
     "MatrixProfileSeriesTransformer": ["check_non_state_changing_method"],
     "PLASeriesTransformer": ["check_non_state_changing_method"],

docs/api_reference/segmentation.rst

@@ -13,7 +13,7 @@ contains algorithms and tools for time series segmentation.
     :toctree: auto_generated/
     :template: class.rst
 
-    BinSegSegmenter
+    BinSegmenter
     ClaSPSegmenter
     FLUSSSegmenter
     InformationGainSegmenter