Closed edwinb-ai closed 3 years ago
The 1-vs-1 approach creates several binary classification SVMs and utilizes a voting scheme. This is the one that Sci-kit Learn uses.
By using scitypes of the kind Multiclass, a one-vs-one approach should be easy to implement.
scitypes
Multiclass
The use of scitypes is not really the issue here. This just means that one must type-coerce the correct target column. The voting scheme is the difficult part. A tie-break scheme is still needed.
The 1-vs-1 approach creates several binary classification SVMs and utilizes a voting scheme. This is the one that Sci-kit Learn uses.
By using
scitypes
of the kindMulticlass
, a one-vs-one approach should be easy to implement.