Hi, while learning about Mountainsort5, I am confused about the number of PC's used in SnippetClassifier in scheme 2.
The scheme 2 doc describes classifier_npca as follows:
The number of principal components to use for each neighborhood classifier. If None (the default), then the number of principal components will be automatically determined as min(12, M * 3) where M is the number of channels in the neighborhood.
Hi, while learning about Mountainsort5, I am confused about the number of PC's used in
SnippetClassifier
in scheme 2.The scheme 2 doc describes
classifier_npca
as follows:The number of principal components to use for each neighborhood classifier. If None (the default), then the number of principal components will be automatically determined as min(12, M * 3) where M is the number of channels in the neighborhood.
Whereas SnippetClassifier,fit() reads:
So shall the algorithm use not more than or not less than 12 PC's for classification?
Thanks!