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Merge branch 'devel' into plotting_tests
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commit
a146336547
17 changed files with 121 additions and 72 deletions
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@ -193,7 +193,12 @@ def check_kernel_gradient_functions(kern, X=None, X2=None, output_ind=None, verb
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if verbose:
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print("Checking gradients of K(X, X2) wrt theta.")
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result = Kern_check_dK_dtheta(kern, X=X, X2=X2).checkgrad(verbose=verbose)
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try:
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result = Kern_check_dK_dtheta(kern, X=X, X2=X2).checkgrad(verbose=verbose)
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except NotImplementedError:
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result=True
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if verbose:
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print(("update_gradients_full, with differing X and X2, not implemented for " + kern.name))
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if result and verbose:
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print("Check passed.")
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if not result:
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@ -416,6 +421,21 @@ class KernelGradientTestsContinuous(unittest.TestCase):
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k.randomize()
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self.assertTrue(check_kernel_gradient_functions(k, X=self.X, X2=self.X2, verbose=verbose))
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def test_integral(self):
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k = GPy.kern.Integral(1)
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k.randomize()
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self.assertTrue(check_kernel_gradient_functions(k, X=self.X, X2=self.X2, verbose=verbose))
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def test_multidimensional_integral_limits(self):
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k = GPy.kern.Multidimensional_Integral_Limits(2)
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k.randomize()
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self.assertTrue(check_kernel_gradient_functions(k, X=self.X, X2=self.X2, verbose=verbose))
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def test_integral_limits(self):
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k = GPy.kern.Integral_Limits(2)
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k.randomize()
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self.assertTrue(check_kernel_gradient_functions(k, X=self.X, X2=self.X2, verbose=verbose))
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def test_Linear(self):
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k = GPy.kern.Linear(self.D)
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k.randomize()
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@ -96,3 +96,14 @@ class TestDebug(unittest.TestCase):
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self.assertTrue((2, np.median(X.mean.values[:,2])) in fixed)
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self.assertTrue(len([t for t in fixed if t[0] == 1]) == 0) # Unfixed input should not be in fixed
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def test_subarray(self):
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import GPy
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X = np.zeros((3,6), dtype=bool)
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X[[1,1,1],[0,4,5]] = 1
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X[1:,[2,3]] = 1
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d = GPy.util.subarray_and_sorting.common_subarrays(X,axis=1)
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self.assertTrue(len(d) == 3)
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X[:, d[tuple(X[:,0])]]
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self.assertTrue(d[tuple(X[:,4])] == d[tuple(X[:,0])] == [0, 4, 5])
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self.assertTrue(d[tuple(X[:,1])] == [1])
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