Compact a ClassificationPartitionedModel
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I'm training several cross fold validated classification models on the same input data. I want to save the trained models but each model redunantly saves a copy of the training data in addition to my out of band copy which makes the mat files unmangable.
I've tried
>>compact(trainedClassifers.ctree)
Undefined function 'compact' for input arguments of type 'classreg.learning.partition.ClassificationPartitionedModel'.
I've also tried
>>trainedClassifers.ctree.X = {}
You cannot set the read-only property 'X' of ClassificationPartitionedModel.
Error in classreg.learning.internal.DisallowVectorOps/subsasgn (line 34)
[varargout{1:nargout}] = builtin('subsasgn',this,s,data);
34 [varargout{1:nargout}] = builtin('subsasgn',this,s,data);
Is there some way I'm unaware of?
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