LostTech.TensorFlow : API Documentation

Type monte_carlo_impl

Namespace tensorflow.contrib.bayesflow.python.ops.monte_carlo_impl

Methods

Properties

Public static methods

Tensor expectation(object f, object samples, PythonFunctionContainer log_prob, bool use_reparametrization, int axis, bool keep_dims, string name)

object expectation_dyn(object f, object samples, object log_prob, ImplicitContainer<T> use_reparametrization, ImplicitContainer<T> axis, ImplicitContainer<T> keep_dims, object name)

object expectation_importance_sampler(object f, PythonFunctionContainer log_p, Distribution sampling_dist_q, IGraphNodeBase z, Nullable<int> n, Nullable<int> seed, string name)

object expectation_importance_sampler_dyn(object f, object log_p, object sampling_dist_q, object z, object n, object seed, ImplicitContainer<T> name)

object expectation_importance_sampler_logspace(object log_f, PythonFunctionContainer log_p, Normal sampling_dist_q, object z, Nullable<int> n, Nullable<int> seed, string name)

object expectation_importance_sampler_logspace_dyn(object log_f, object log_p, object sampling_dist_q, object z, object n, object seed, ImplicitContainer<T> name)

Public properties

PythonFunctionContainer expectation_fn get;

PythonFunctionContainer expectation_importance_sampler_fn get;

PythonFunctionContainer expectation_importance_sampler_logspace_fn get;