old_contents: ################################################################################
  # 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/
  
     GaussianGammaISO
     GaussianGammaARD
     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
  
  
  
  Deterministic nodes
  ===================
  
  .. autosummary::
     :toctree: generated/
  
     Dot
     SumMultiply
     Add
     Gate
  """
  
  # 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 *
  
  
new_contents: ################################################################################
  # 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/
  
     GaussianGammaISO
     GaussianGammaARD
     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
  
  
  
  Deterministic nodes
  ===================
  
  .. autosummary::
     :toctree: generated/
  
     Dot
     SumMultiply
     Add
     Gate
     Take
  """
  
  # 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 *
  
  
subject: Add Take node to the node list in API doc