Python SMLR.get_sensitivity_analyzer Beispiele

Beispiel #1

Datei: test_smlr.py Projekt: arokem/PyMVPA

    def test_smlr_sensitivities(self):
        data = normal_feature_dataset(perlabel=10, nlabels=2, nfeatures=4)

        # use SMLR on binary problem, but not fitting all weights
        clf = SMLR(fit_all_weights=False)
        clf.train(data)

        # now ask for the sensitivities WITHOUT having to pass the dataset
        # again
        sens = clf.get_sensitivity_analyzer(force_training=False)()
        self.failUnless(sens.shape == (len(data.UT) - 1, data.nfeatures))

Beispiel #2

Datei: test_smlr.py Projekt: heqing-psychology/PyMVPA

    def test_smlr_sensitivities(self):
        data = normal_feature_dataset(perlabel=10, nlabels=2, nfeatures=4)

        # use SMLR on binary problem, but not fitting all weights
        clf = SMLR(fit_all_weights=False)
        clf.train(data)

        # now ask for the sensitivities WITHOUT having to pass the dataset
        # again
        sens = clf.get_sensitivity_analyzer(force_training=False)()
        self.failUnless(sens.shape == (len(data.UT) - 1, data.nfeatures))