Python linear1d_gaussian_noise Beispiele

Beispiel #1

Datei: test_gpr.py Projekt: Anhmike/PyMVPA

 def test_basic(self):
     dataset = data_generators.linear1d_gaussian_noise()
     k = GeneralizedLinearKernel()
     clf = GPR(k)
     clf.train(dataset)
     y = clf.predict(dataset.samples)
     assert_array_equal(y.shape, dataset.targets.shape)

Beispiel #2

 def test_basic(self):
     dataset = data_generators.linear1d_gaussian_noise()
     k = GeneralizedLinearKernel()
     clf = GPR(k)
     clf.train(dataset)
     y = clf.predict(dataset.samples)
     assert_array_equal(y.shape, dataset.targets.shape)

Beispiel #3

Datei: test_gpr.py Projekt: Arthurkorn/PyMVPA

 def test_basic(self):
     skip_if_no_external('scipy') # needed by GPR code
     dataset = data_generators.linear1d_gaussian_noise()
     k = GeneralizedLinearKernel()
     clf = GPR(k)
     clf.train(dataset)
     y = clf.predict(dataset.samples)
     assert_array_equal(y.shape, dataset.targets.shape)

Beispiel #4

 def test_basic(self):
     skip_if_no_external('scipy')  # needed by GPR code
     dataset = data_generators.linear1d_gaussian_noise()
     k = GeneralizedLinearKernel()
     clf = GPR(k)
     clf.train(dataset)
     y = clf.predict(dataset.samples)
     assert_array_equal(y.shape, dataset.targets.shape)