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[dir] structure preserved

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mzwiessele 2015-10-15 15:13:16 +01:00
parent e79ab98385
commit 568a38dfba
29 changed files with 48 additions and 46 deletions
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GPy/core/gp.py
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@ -3,19 +3,19 @@
import numpy as np
from .. import kern
from .probabilistic_model import ProbabilisticModel
from GPy.core.model import Model
from paramz import ObsAr
from .mapping import Mapping
from .. import likelihoods
from ..inference.latent_function_inference import exact_gaussian_inference, expectation_propagation
from .variational import VariationalPosterior
from GPy.core.parameterization.variational import VariationalPosterior
import logging
import warnings
from GPy.util.normalizer import MeanNorm
logger = logging.getLogger("GP")
class GP(ProbabilisticModel):
class GP(Model):
"""
General purpose Gaussian process model
@ -541,7 +541,7 @@ class GP(ProbabilisticModel):
: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` and numpy.ndarray, :class:`~GPy.core.probabilistic_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)