526e1524c4c55b08503c35a4af91ca3d0623baf8,mvpa/tests/test_datameasure.py,SensitivityAnalysersTests,testLinearSVMWeightsPerClass,#SensitivityAnalysersTests#Any#,199

Before Change

        // just to verify that we split properly and if we reconstruct
        // manually we obtain the same
        dmap = (-1*map_split[:, 1]  + map_split[:, 0]) - map_full
        self.failUnless((N.abs(dmap) <= 1e-10).all())
        //print "____"
        //print map_split

After Change

        // and lets look at all sensitivities
        ds2 = datasets["uni4large"].copy()
        ds2.zscore(baselinelabels = ["L2", "L3"])
        ds2 = ds2[N.logical_or(ds2.sa.labels == "L0", ds2.sa.labels == "L1")]

        map_split = sana_split(ds2)
        map_full = sana_full(ds2)

Instances