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improve the documentation of infer_newX

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Zhenwen Dai 2015-07-27 12:51:03 +01:00
parent ce3681a566
commit 1a141d9ce5
2 changed files with 11 additions and 4 deletions
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6
GPy/core/gp.py
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@ -473,16 +473,16 @@ class GP(Model):
self.inference_method.on_optimization_end()
raise
def infer_newX(self, Y_new, optimize=True, ):
def infer_newX(self, Y_new, optimize=True):
"""
Infer the distribution of X for the new observed data *Y_new*.
Infer X for the new observed data *Y_new*.
: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 posterior estimation of X and the model that optimize X
:rtype: (:class:`~GPy.core.parameterization.variational.VariationalPosterior` or numpy.ndarray, :class:`~GPy.core.model.Model`)
:rtype: (:class:`~GPy.core.parameterization.variational.VariationalPosterior` and numpy.ndarray, :class:`~GPy.core.model.Model`)
"""
from ..inference.latent_function_inference.inferenceX import infer_newX
return infer_newX(self, Y_new, optimize=optimize)