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################################################################################
# Copyright (C) 2013 Jaakko Luttinen
#
# This file is licensed under the MIT License.
################################################################################
"""
Package for nodes used to construct the model.
Stochastic nodes
================
.. currentmodule:: bayespy.nodes
Nodes for Gaussian variables:
.. autosummary::
:toctree: generated/
Gaussian
GaussianARD
Nodes for precision and scale variables:
.. autosummary::
:toctree: generated/
Gamma
Wishart
Exponential
Nodes for modelling Gaussian and precision variables jointly (useful as prior
for Gaussian nodes):
.. autosummary::
:toctree: generated/
GaussianGamma
GaussianWishart
Nodes for discrete count variables:
.. autosummary::
:toctree: generated/
Bernoulli
Binomial
Categorical
Multinomial
Poisson
Nodes for probabilities:
.. autosummary::
:toctree: generated/
Beta
Dirichlet
Nodes for dynamic variables:
.. autosummary::
:toctree: generated/
CategoricalMarkovChain
GaussianMarkovChain
SwitchingGaussianMarkovChain
VaryingGaussianMarkovChain
Other stochastic nodes:
.. autosummary::
:toctree: generated/
Mixture
Point-estimation nodes:
.. autosummary::
MaximumLikelihood
Concentration
GammaShape
Deterministic nodes
===================
.. autosummary::
:toctree: generated/
Dot
SumMultiply
Add
Gate
Take
Function
ConcatGaussian
Choose
"""
# Currently, model construction and the inference network are not separated so
# the model is constructed using variational message passing nodes.
from bayespy.inference.vmp.nodes import *
|
