Created
June 30, 2014 09:55
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| caching missing data slices, this can take several minutes... | |
| --------------------------------------------------------------------------- | |
| IndexError Traceback (most recent call last) | |
| <ipython-input-19-4ef20cdf8256> in <module>() | |
| 34 likelihood = GPy.likelihoods.gaussian.Gaussian() | |
| 35 | |
| ---> 36 m=GPy.core.SparseGP(X, Y, Z, k, likelihood, inference_method=VarDTCMissingData(inan=inan)) | |
| 37 #GPy.core.GP? | |
| 38 #m=GPy.core.GP(X, Y, k, likelihood, inference_method=VarDTCMissingData(inan=inan)) | |
| /is/ei/jmcmurr/.local/lib/python2.7/site-packages/GPy-0.4.6-py2.7.egg/GPy/core/parameterization/parameterized.pyc in __call__(self, *args, **kw) | |
| 12 def __call__(self, *args, **kw): | |
| 13 instance = super(ParametersChangedMeta, self).__call__(*args, **kw) | |
| ---> 14 instance.parameters_changed() | |
| 15 return instance | |
| 16 | |
| /is/ei/jmcmurr/.local/lib/python2.7/site-packages/GPy-0.4.6-py2.7.egg/GPy/core/sparse_gp.pyc in parameters_changed(self) | |
| 54 | |
| 55 def parameters_changed(self): | |
| ---> 56 self.posterior, self._log_marginal_likelihood, self.grad_dict = self.inference_method.inference(self.kern, self.X, self.Z, self.likelihood, self.Y, self.Y_metadata) | |
| 57 self.likelihood.update_gradients(self.grad_dict['dL_dthetaL']) | |
| 58 if isinstance(self.X, VariationalPosterior): | |
| /is/ei/jmcmurr/.local/lib/python2.7/site-packages/GPy-0.4.6-py2.7.egg/GPy/inference/latent_function_inference/var_dtc.pyc in inference(self, kern, X, Z, likelihood, Y, Y_metadata) | |
| 258 psi2_all = None | |
| 259 | |
| --> 260 Ys, traces = self._Y(Y) | |
| 261 beta_all = 1./np.fmax(likelihood.gaussian_variance(Y_metadata), 1e-6) | |
| 262 het_noise = beta_all.size != 1 | |
| /is/ei/jmcmurr/.local/lib/python2.7/site-packages/GPy-0.4.6-py2.7.egg/GPy/util/caching.pyc in __call__(self, *args, **kw) | |
| 86 #======================================================================= | |
| 87 # !WARNING CACHE OFFSWITCH! | |
| ---> 88 return self.operation(*args, **kw) | |
| 89 #======================================================================= | |
| 90 | |
| /is/ei/jmcmurr/.local/lib/python2.7/site-packages/GPy-0.4.6-py2.7.egg/GPy/inference/latent_function_inference/var_dtc.pyc in _subarray_computations(self, Y) | |
| 238 self._subarray_indices.append([v,ind]) | |
| 239 logger.info('preparing subarrays Y') | |
| --> 240 Ys = [Y[v, :][:, ind] for v, ind in self._subarray_indices] | |
| 241 logger.info('preparing traces Y') | |
| 242 traces = [np.einsum('ij,ij->', y,y) for y in Ys] | |
| IndexError: index (12) out of range (0<=index<0) in dimension 1 |
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