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[config] default stub install verbose
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2 changed files with 15 additions and 6 deletions
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@ -559,21 +559,22 @@ class TestNoiseModels(object):
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@with_setup(setUp, tearDown)
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def t_laplace_fit_rbf_white(self, model, X, Y, f, Y_metadata, step, param_vals, param_names, constraints):
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print("\n{}".format(inspect.stack()[0][3]))
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np.random.seed(11111)
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#Normalize
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Y = Y/Y.max()
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white_var = 1e-5
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white_var = 1e-1
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kernel = GPy.kern.RBF(X.shape[1]) + GPy.kern.White(X.shape[1])
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laplace_likelihood = GPy.inference.latent_function_inference.Laplace()
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m = GPy.core.GP(X.copy(), Y.copy(), kernel, likelihood=model, Y_metadata=Y_metadata, inference_method=laplace_likelihood)
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m['.*white'].constrain_fixed(white_var)
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#m['.*white'].constrain_fixed(white_var)
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#Set constraints
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for constrain_param, constraint in constraints:
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constraint(constrain_param, m)
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print(m)
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m.randomize()
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#print(m)
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#m.randomize()
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m.randomize()
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#Set params
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@ -582,13 +583,16 @@ class TestNoiseModels(object):
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m[name] = param_vals[param_num]
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#m.optimize(max_iters=8)
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print(m)
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#print(m)
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#if not m.checkgrad(step=step):
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#m.checkgrad(verbose=1, step=step)
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#NOTE this test appears to be stochastic for some likelihoods (student t?)
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# appears to all be working in test mode right now...
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#if isinstance(model, GPy.likelihoods.StudentT):
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assert m.checkgrad(verbose=1, step=step)
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try:
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assert m.checkgrad(verbose=0, step=step)
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except:
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assert m.checkgrad(verbose=1)
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###########
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# EP test #
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@ -38,10 +38,15 @@ change_plotting_library('matplotlib')
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if config.get('plotting', 'library') != 'matplotlib':
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raise SkipTest("Matplotlib not installed, not testing plots")
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try:
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import matplotlib
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from matplotlib import cbook, pyplot as plt
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from matplotlib.testing.compare import compare_images
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from matplotlib.testing.noseclasses import ImageComparisonFailure
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matplotlib.rcParams.update(matplotlib.rcParamsDefault)
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matplotlib.rcParams[u'figure.figsize'] = (4,3)
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matplotlib.rcParams[u'text.usetex'] = False
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except ImportError:
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raise SkipTest("Matplotlib not installed, not testing plots")
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