if you push your work somewhere (I don't see your clone at
https://github.com/PyMVPA/PyMVPA/network) we will add it to daily
testing
I don't know why you don't see it, but I do have a fork on github:
https://github.com/otizonaizit/PyMVPA/
but please, slow down, this is very much work in
On Thu, 19 Apr 2012, Tiziano Zito wrote:
a first report of my efforts for a py3 version of PyMVPA. Put aside
a couple of incompatibilities in the swig wrappers and the usage of
some deprecated functions and modules that were easily fixable, my
PyMVPA port now runs succesfully 67 out of 127
My guess is that it is still related to how that AttributesCollector
injects those additional attributes into the freshly constructed
classes. I hope above clues would be of help
it helped indeed ;)
ciao,
tiziano
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Pkg-ExpPsy-PyMVPA mailing
Hello all,
I noticed that in the tutorial data that the data is z-scored with respect
to the resting condition. I have not seen this done in the literature and I
am I am wondering if you have found it beneficial to z-score in that way or
if just doing a simple z-score on the entire time course
and depending on how you want to interpret your data z-scoring against
rest condition might have clearer 'meaning' that standartization of the
whole time series happen you to look at the actual values
but, as you have observed, since rest-condition is scarser in # of
samples than the whole time
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