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Merge branch 'devel' of github.com:SheffieldML/GPy into devel
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commit
5ab16915a9
16 changed files with 295 additions and 421 deletions
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@ -141,6 +141,22 @@ class BayesianGPLVM(SparseGP_MPI):
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resolution, ax, marker, s,
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fignum, plot_inducing, legend,
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plot_limits, aspect, updates, predict_kwargs, imshow_kwargs)
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def infer_newX(self, Y_new, optimize=True, ):
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"""
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Infer the distribution of X for the new observed data *Y_new*.
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:param model: the GPy model used in inference
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:type model: GPy.core.Model
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:param Y_new: the new observed data for inference
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:type Y_new: numpy.ndarray
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:param optimize: whether to optimize the location of new X (True by default)
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:type optimize: boolean
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:return: a tuple containing the estimated posterior distribution of X and the model that optimize X
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:rtype: (GPy.core.parameterization.variational.VariationalPosterior, GPy.core.Model)
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"""
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from ..inference.latent_function_inference.inferenceX import infer_newX
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return infer_newX(self, Y_new, optimize=optimize)
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def do_test_latents(self, Y):
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"""
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