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add new inference X

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This commit is contained in:
Zhenwen Dai 2014-11-03 13:38:28 +00:00
parent 78be1464be
commit 78b50db138
3 changed files with 149 additions and 0 deletions
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16
GPy/models/bayesian_gplvm.py
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@ -175,6 +175,22 @@ class BayesianGPLVM(SparseGP_MPI):
resolution, ax, marker, s,
fignum, plot_inducing, legend,
plot_limits, aspect, updates, predict_kwargs, imshow_kwargs)
def infer_newX(self, Y_new, optimize=True, ):
"""
Infer the distribution of X for the new observed data *Y_new*.
:param model: the GPy model used in inference
:type model: GPy.core.Model
:param Y_new: the new observed data for inference
:type Y_new: numpy.ndarray
:param optimize: whether to optimize the location of new X (True by default)
:type optimize: boolean
:return: a tuple containing the estimated posterior distribution of X and the model that optimize X
:rtype: (GPy.core.parameterization.variational.VariationalPosterior, GPy.core.Model)
"""
from ..inference.latent_function_inference.inferenceX import infer_newX
return infer_newX(self, Y_new, optimize=optimize)
def do_test_latents(self, Y):
"""