Hi all,
Now that Michael solved the timing mystery, I'm back to the question of
how to get the p-values from a searchlight analysis with permutations.
So, here's the current code:
repeater = Repeater(count=10) # just 10 for testing
partitioner = NFoldPartitioner(cvtype=1)
permutator = AttributePermutator('targets', limit={'partitions': 1},
count=1)
null_cv = CrossValidation(clf,
ChainNode(
[partitioner, permutator],
space=partitioner.get_space()),
postproc=mean_sample())
distr_est = MCNullDist(repeater, tail='left',
measure=null_cv,
enable_ca=['dist_samples'])
cv_mc_corr = CrossValidation(clf,
partitioner,
postproc=mean_sample(),
null_dist=distr_est,
enable_ca=['stats'])
sl = sphere_searchlight(cv_mc_corr, radius = 3, postproc =
mean_sample(), enable_ca=['stats'])
Based on sphere_searchlight? in iypthon I suspected that the answer
might be pass_attr, but various variants I tried failed. Also, a number
of mailing list threads I looked at turned out to be dead ends. Again,
any input would be very much appreciated.
Jan
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