Hello,
Real quick: Besides "None", what other arguments can you input for
"combiner=???" in a sensitivity analyzer for a feature selection
classifier? I see that it's supposed to be a "functor", whatever that
is, but some examples would be very helpful.
Cheers,
Mark
splitter = NFoldSplitter(cvtype=1)
rfesvm_split = SplitClassifier(LinearCSVMC(),splitter)
FtSelClf = FeatureSelectionClassifier(
# use a linear SVM classifier:
clf = LinearCSVMC(),
# on features selected via RFE
feature_selection = RFE(
# based on sensitivity of a clf which does splitting internally
sensitivity_analyzer=rfesvm_split.getSensitivityAnalyzer(combiner=<???
>,transformer=absolute)
transfer_error=ConfusionBasedError(
rfesvm_split,
confusion_state="confusion"),
# and whose internal error we use
feature_selector=FractionTailSelector(
0.2, mode='discard', tail='lower'),
# remove 20% of features at each step
enable_states=['feature_ids'],
# update sensitivity at each step
update_sensitivity=True),
descr='LinSVM+RFE(splits_avg)')
~~~~~~~~~~~~~~~~~~~~~~~~~~
Mark Lescroart
(say it LESS-qua)
University of Southern California
Neuroscience Graduate Program
Image Understanding Lab
Email: [email protected]
Cell: (213) 447-0752
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