STT-tensorflow/tensorflow/contrib/distributions/__init__.py
A. Unique TensorFlower 506671c7b3 Registering documentation for contrib.distributions.
Change: 121899093
2016-05-09 18:02:00 -07:00

50 lines
1.8 KiB
Python

# Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Classes representing statistical distributions. Ops for working with them.
## Classes for statistical distributions.
Classes that represent batches of statistical distributions. Each class is
initialized with parameters that define the distributions.
### Univariate (scalar) distributions
@@Gaussian
### Multivariate distributions
@@MultivariateNormal
@@DirichletMultinomial
## Posterior inference with conjugate priors.
Functions that transform conjugate prior/likelihood pairs to distributions
representing the posterior or posterior predictive.
### Gaussian likelihood with conjugate prior.
@@gaussian_conjugates_known_sigma_posterior
@@gaussian_congugates_known_sigma_predictive
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
# pylint: disable=unused-import,wildcard-import,line-too-long
from tensorflow.contrib.distributions.python.ops.dirichlet_multinomial import *
from tensorflow.contrib.distributions.python.ops.gaussian import *
from tensorflow.contrib.distributions.python.ops.gaussian_conjugate_posteriors import *
from tensorflow.contrib.distributions.python.ops.mvn import *