corrected path to the time-point based ROCKAD in class description

Author: pattplatt

aeon/anomaly_detection/whole_series/_rockad.py

@@ -24,7 +24,7 @@ class ROCKAD(BaseCollectionAnomalyDetector):
     The data gets transformed into the ROCKET feature space.
     Then the whole-series are compared based on the feature space by
     finding the nearest neighbours. The time-point based ROCKAD anomaly detector
-    can be found at aeon/anomaly_detection/_rockad.py
+    can be found at aeon/anomaly_detection/series/distance_based/_rockad.py
 
     This class supports both univariate and multivariate time series and
     provides options for normalizing features, applying power transformations,