pymc.Approximation ================== .. currentmodule:: pymc .. autoclass:: Approximation .. rubric:: Methods .. autosummary:: :toctree: classmethods Approximation.__init__ Approximation.collect Approximation.get_optimization_replacements Approximation.make_size_and_deterministic_replacements Approximation.rslice Approximation.sample Approximation.sample_node Approximation.set_size_and_deterministic Approximation.symbolic_sample_over_posterior Approximation.symbolic_single_sample Approximation.to_flat_input .. rubric:: Attributes .. autosummary:: ~Approximation.all_histograms ~Approximation.any_histograms ~Approximation.datalogp ~Approximation.datalogp_norm ~Approximation.ddim ~Approximation.has_logq ~Approximation.inputs ~Approximation.joint_histogram ~Approximation.logp ~Approximation.logp_norm ~Approximation.logq ~Approximation.logq_norm ~Approximation.ndim ~Approximation.params ~Approximation.replacements ~Approximation.sample_dict_fn ~Approximation.scale_cost_to_minibatch ~Approximation.single_symbolic_datalogp ~Approximation.single_symbolic_logp ~Approximation.single_symbolic_varlogp ~Approximation.sized_symbolic_datalogp ~Approximation.sized_symbolic_logp ~Approximation.sized_symbolic_varlogp ~Approximation.symbolic_logq ~Approximation.symbolic_normalizing_constant ~Approximation.symbolic_random ~Approximation.symbolic_randoms ~Approximation.varlogp ~Approximation.varlogp_norm