apunkt/GPy
1
0
Fork 0
mirror of https://github.com/SheffieldML/GPy.git synced 2026-05-03 08:42:39 +02:00
Code Issues Projects Releases Packages Wiki Activity Actions

prior with Lambda

Browse source
This commit is contained in:
frb-yousefi 2015-04-20 15:51:28 +01:00
parent e42937ccaf
commit 17fa8a0ada
3 changed files with 55 additions and 78 deletions
Download patch file Download diff file Expand all files Collapse all files

19
GPy/models/dpgplvm.py Normal file
View file

@ -0,0 +1,19 @@
# Copyright (c) 2015 the GPy Austhors (see AUTHORS.txt)
# Licensed under the BSD 3-clause license (see LICENSE.txt)
import numpy as np
from .. import kern
from bayesian_gplvm import BayesianGPLVM
from ..core.parameterization.variational import NormalPosterior, NormalPrior
class DPBayesianGPLVM(BayesianGPLVM):
"""
Bayesian Gaussian Process Latent Variable Model with Descriminative prior
"""
def __init__(self, Y, input_dim, X_prior, X=None, X_variance=None, init='PCA', num_inducing=10,
Z=None, kernel=None, inference_method=None, likelihood=None,
name='bayesian gplvm', mpi_comm=None, normalizer=None,
missing_data=False, stochastic=False, batchsize=1):
super(DPBayesianGPLVM,self).__init__(Y=Y, input_dim=input_dim, X=X, X_variance=X_variance, init=init, num_inducing=num_inducing, Z=Z, kernel=kernel, inference_method=inference_method, likelihood=likelihood, mpi_comm=mpi_comm, normalizer=normalizer, missing_data=missing_data, stochastic=stochastic, batchsize=batchsize, name='dp bayesian gplvm')
self.X.mean.set_prior(X_prior)
self.link_parameter(X_prior)