def test_precomputed_kernel(self):
"""Statistic Kernels"""
d = np.random.randn(50, 50)
nk = PrecomputedKernel(matrix=d)
nk.compute()
self.failUnless((d == nk._k).all(),
'Failure setting and retrieving PrecomputedKernel data')
def test_precomputed_kernel(self):
"""Statistic Kernels"""
d = np.random.randn(50, 50)
nk = PrecomputedKernel(matrix=d)
nk.compute()
self.failUnless(
(d == nk._k).all(),
'Failure setting and retrieving PrecomputedKernel data')
def test_sg_conversions(self):
nk = PrecomputedKernel(matrix=np.random.randn(50, 50))
nk.compute()
skip_if_no_external("shogun", ver_dep="shogun:rev", min_version=4455)
sk = nk.as_sg()
sk.compute()
# CustomKernels interally store as float32 ??
self.failUnless(
(nk._k.astype("float32") == sk.as_raw_np().astype("float32")).all(),
"Failure converting arrays between NP as SG",
)
def test_sg_conversions(self):
nk = PrecomputedKernel(matrix=np.random.randn(50, 50))
nk.compute()
skip_if_no_external('shogun',
ver_dep='shogun:rev',
min_version=4455)
sk = nk.as_sg()
sk.compute()
# CustomKernels interally store as float32 ??
self.failUnless((nk._k.astype('float32') == \
sk.as_raw_np().astype('float32')).all(),
'Failure converting arrays between NP as SG')
