Hi,
I have a basic question about the sensitivity analysis for the
LinearCSVMC classifier.
Namely: What does it do?
Simple hey?! :)
Lets say I have;
clfr = LinearCSVMC(probability=1,C=1)
fsel = SensitivityBasedFeatureSelection(
clfr.get_sensitivity_analyzer(postproc=maxofabs_sample()),
FixedNElementTailSelector(nr_features_keep,
mode='select', tail='upper'),
enable_ca = ['selected_ids'],
train_analyzer=1)
What comes out of the clfr.get_sensitivity_analyzer function?
Is there some iteration or data folding going on inside?
What happens if fsel is called with multiclass data?
Answer this and I wish you an even happier x-mas ;)
P
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