Thanks very much. I will try them in the next days.
Zonglei Zhen On Fri, Aug 12, 2011 at 12:00 AM, Yaroslav Halchenko <[email protected]>wrote: > indeed we have no good tutorial/example for regressions yet besides one > for GPR > > doc/examples/gpr.py > > also we interface to SVR regressions (from libsvm and shogun) and started > to add interfaces to scikits.learn. Some samples of them are available > from > regrswh, so on my system: > > *In [5]: print '\n'.join([str(x) for x in regrswh[:]]) > <libsvm epsilon-SVR> > <libsvm nu-SVR> > <sg.LinSVMR()/libsvr> > <skl.PLSRegression_1d()> > <skl.LARS()> > <skl.LassoLARS()> > <GPR(kernel='linear')> > <GPR(kernel='sqexp')> > > As for "howto" -- just the same way you use classifiers -- then > ConfusionMatrix > in .stats would be replaced with RegressionStatistics. e.g. > > In [5]: from mvpa.suite import * > > In [6]: from mvpa.testing.datasets import datasets as testing_datasets > > In [7]: cve = CrossValidation(regrswh[:][0], NFoldPartitioner(), > postproc=mean_sample(), errorfx=corr_error, enable_ca=['training_stats', > 'stats']) > > In [8]: print cve(testing_datasets['chirp_linear']) > <Dataset: 1x1@float64, <sa: cvfolds>> > > In [9]: print cve.ca.stats > Statistics Mean Std Min Max > ---------- ----- ----- ----- ----- > Data: > RMP_t 0.668 0.015 0.639 0.681 > STD_t 0.661 0.015 0.631 0.675 > RMP_p 0.644 0.043 0.593 0.731 > STD_p 0.637 0.042 0.583 0.721 > Results: > CCe 0.06 0.016 0.036 0.084 > RMSE 0.232 0.027 0.184 0.266 > RMSE/RMP_t 0.348 0.043 0.27 0.4 > Summary: > CCe 0.06 p= 3.65268e-137 > RMSE 0.23 > RMSE/RMP_t 0.35 > # of sets 6 > > > On Mon, 08 Aug 2011, Zhen Zonglei wrote: > > > Hi Guys: > > > > > I am trying to do multivariate regression analysis to predict > > subject-specific score with pymvpa 0.6. But, I did not find some > > examples about this in the manual. What regressions are implemented in > > the toolbox? Could you please show me how to do regression analysis in > > the toolbox? > > > > Best > > > > Zonglei Zhen > > > _______________________________________________ > > Pkg-ExpPsy-PyMVPA mailing list > > [email protected] > > > http://lists.alioth.debian.org/cgi-bin/mailman/listinfo/pkg-exppsy-pymvpa > > > -- > =------------------------------------------------------------------= > Keep in touch www.onerussian.com > Yaroslav Halchenko www.ohloh.net/accounts/yarikoptic > > _______________________________________________ > Pkg-ExpPsy-PyMVPA mailing list > [email protected] > http://lists.alioth.debian.org/cgi-bin/mailman/listinfo/pkg-exppsy-pymvpa >
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