[DOC] Shapelet transform notebook

aeon/classification/compose/_pipeline.py

@@ -42,7 +42,7 @@ class ClassifierPipeline(BaseCollectionPipeline, BaseClassifier):
         the str is used to name the transformer.
         The objecst are cloned prior, as such the state of the input will not be
         modified by fitting the pipeline.
-    classifier : aeon or sklearn classifier
+    estimator : aeon or sklearn classifier
         A classifier to use at the end of the pipeline.
         The object is cloned prior, as such the state of the input will not be modified
         by fitting the pipeline.

aeon/classification/shapelet_based/_rsast.py

@@ -32,7 +32,7 @@ class RSASTClassifier(BaseClassifier):
         the number of reference time series to select per class
     seed : int, default = None
         the seed of the random generator
-    classifier : sklearn compatible classifier, default = None
+    estimator : sklearn compatible classifier, default = None
         if None, a RidgeClassifierCV(alphas=np.logspace(-3, 3, 10)) is used.
     n_jobs : int, default -1
         Number of threads to use for the transform.

aeon/classification/shapelet_based/_sast.py

@@ -34,7 +34,7 @@ class SASTClassifier(BaseClassifier):
         the number of reference time series to select per class
     seed : int, default = None
         the seed of the random generator
-    classifier : sklearn compatible classifier, default = None
+    estimator : sklearn compatible classifier, default = None
         if None, a RidgeClassifierCV(alphas=np.logspace(-3, 3, 10)) is used.
     n_jobs : int, default -1
         Number of threads to use for the transform.