Example #1
0
def _test_boston_poly_compare_with_sklearn(params):
    diabetes = datasets.load_boston()
    clf = SVR(kernel='poly', **params)
    clf.fit(diabetes.data, diabetes.target)
    result = clf.score(diabetes.data, diabetes.target)

    clf = SklearnSVR(kernel='poly', **params)
    clf.fit(diabetes.data, diabetes.target)
    expected = clf.score(diabetes.data, diabetes.target)

    assert result > 0.5
    assert result > expected - 1e-5
Example #2
0
def _test_boston_rbf_compare_with_sklearn(C, gamma):
    diabetes = datasets.load_boston()
    clf = SVR(kernel='rbf', gamma=gamma, C=C)
    clf.fit(diabetes.data, diabetes.target)
    result = clf.score(diabetes.data, diabetes.target)

    clf = SklearnSVR(kernel='rbf', gamma=gamma, C=C)
    clf.fit(diabetes.data, diabetes.target)
    expected = clf.score(diabetes.data, diabetes.target)

    assert result > 0.4
    assert result > expected - 1e-5
Example #3
0
def _test_boston_linear_compare_with_sklearn(C):
    diabetes = datasets.load_boston()
    clf = SVR(kernel='linear', C=C)
    clf.fit(diabetes.data, diabetes.target)
    result = clf.score(diabetes.data, diabetes.target)

    clf = SklearnSVR(kernel='linear', C=C)
    clf.fit(diabetes.data, diabetes.target)
    expected = clf.score(diabetes.data, diabetes.target)

    assert result > 0.5
    assert result > expected - 1e-3
Example #4
0
def _test_diabetes_compare_with_sklearn(kernel):
    diabetes = datasets.load_diabetes()
    clf_onedal = SVR(kernel=kernel, C=10.)
    clf_onedal.fit(diabetes.data, diabetes.target)
    result = clf_onedal.score(diabetes.data, diabetes.target)

    clf_sklearn = SklearnSVR(kernel=kernel, C=10.)
    clf_sklearn.fit(diabetes.data, diabetes.target)
    expected = clf_sklearn.score(diabetes.data, diabetes.target)

    assert result > expected - 1e-5
    assert_allclose(clf_sklearn.intercept_, clf_onedal.intercept_, atol=1e-4)
    assert_allclose(clf_sklearn.support_vectors_.shape,
                    clf_sklearn.support_vectors_.shape)
    assert_allclose(clf_sklearn.dual_coef_, clf_onedal.dual_coef_, atol=1e-2)
Example #5
0
def test_diabetes_simple():
    diabetes = datasets.load_diabetes()
    clf = SVR(kernel='linear', C=10.)
    clf.fit(diabetes.data, diabetes.target)
    assert clf.score(diabetes.data, diabetes.target) > 0.02