def test_linear_svr_warm_start(): reg = LinearSVR(C=1e-3, random_state=0, warm_start=True) reg.fit(reg_dense, reg_target) assert_greater(reg.score(reg_dense, reg_target), 0.96) reg.C = 1 reg.fit(reg_dense, reg_target) assert_greater(reg.score(reg_dense, reg_target), 0.99)
def test_linear_svr_l2(): reg = LinearSVR(loss="l2", random_state=0) reg.fit(reg_dense, reg_target) assert_greater(reg.score(reg_dense, reg_target), 0.99)
def test_linear_svr_fit_intercept(): reg = LinearSVR(random_state=0, fit_intercept=True) reg.fit(reg_dense, reg_target) assert_greater(reg.score(reg_dense, reg_target), 0.99)
def test_linear_svr_warm_start(reg_train_data, C, warm_start): reg_dense, reg_target = reg_train_data reg = LinearSVR(C=C, random_state=0, warm_start=warm_start) reg.fit(reg_dense, reg_target) target_score = 0.99 if C == 1 else 0.96 assert reg.score(reg_dense, reg_target) > target_score
def test_linear_svr(reg_train_data, fit_intercept, loss): reg_dense, reg_target = reg_train_data reg = LinearSVR(random_state=0, fit_intercept=fit_intercept, loss=loss) reg.fit(reg_dense, reg_target) assert reg.score(reg_dense, reg_target) > 0.99
def test_linear_svr(): reg = LinearSVR(random_state=0) reg.fit(reg_dense, reg_target) assert reg.score(reg_dense, reg_target) > 0.99