pymc.Empirical
==============

.. currentmodule:: pymc

.. autoclass:: Empirical

   
   

   .. rubric:: Methods

   .. autosummary::
      :toctree: classmethods

   
      Empirical.__init__
      Empirical.collect
      Empirical.evaluate_over_trace
      Empirical.get_optimization_replacements
      Empirical.make_size_and_deterministic_replacements
      Empirical.rslice
      Empirical.sample
      Empirical.sample_node
      Empirical.set_size_and_deterministic
      Empirical.symbolic_sample_over_posterior
      Empirical.symbolic_single_sample
      Empirical.to_flat_input
   
   

   
   
   .. rubric:: Attributes

   .. autosummary::
   
      ~Empirical.all_histograms
      ~Empirical.any_histograms
      ~Empirical.datalogp
      ~Empirical.datalogp_norm
      ~Empirical.ddim
      ~Empirical.has_logq
      ~Empirical.inputs
      ~Empirical.joint_histogram
      ~Empirical.logp
      ~Empirical.logp_norm
      ~Empirical.logq
      ~Empirical.logq_norm
      ~Empirical.ndim
      ~Empirical.params
      ~Empirical.replacements
      ~Empirical.sample_dict_fn
      ~Empirical.scale_cost_to_minibatch
      ~Empirical.single_symbolic_datalogp
      ~Empirical.single_symbolic_logp
      ~Empirical.single_symbolic_varlogp
      ~Empirical.sized_symbolic_datalogp
      ~Empirical.sized_symbolic_logp
      ~Empirical.sized_symbolic_varlogp
      ~Empirical.symbolic_logq
      ~Empirical.symbolic_normalizing_constant
      ~Empirical.symbolic_random
      ~Empirical.symbolic_randoms
      ~Empirical.varlogp
      ~Empirical.varlogp_norm