e971b8fca2b2491dcb3c45c5990988c7a761724b,mvpa/tests/test_svm.py,SVMTests,testMultivariate,#SVMTests#,26

Before Change

            // use non-linear CLF on 1d data
            nl_clf.train(train.selectFeatures([0]))
            p_uv = nl_clf.predict(test.selectFeatures([0]).samples)
            uv_perf.append(N.mean(p_uv==test.labels))

        mean_mv_perf = N.mean(mv_perf)

After Change

            mv_lin_perf.append(N.mean(p_lin_mv==test.labels))

            // use non-linear CLF on 1d data
            nl_clf.train(train[:, 0])
            p_uv = nl_clf.predict(test[:, 0].samples)
            uv_perf.append(N.mean(p_uv==test.labels))

Instances