# Copyright (c) 2015 the GPy Authors (see AUTHORS.txt)
# Licensed under the BSD 3-clause license (see LICENSE.txt)
from .bayesian_gplvm import BayesianGPLVM
[docs]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)