LostTech.TensorFlow : API Documentation

Type dynamic_rnn_estimator

Namespace tensorflow.contrib.learn.dynamic_rnn_estimator

Methods

Properties

Public static methods

Tensor build_sequence_input(IDictionary<string, IGraphNodeBase> features, IEnumerable<object> sequence_feature_columns, IEnumerable<_OneHotColumn> context_feature_columns, object weight_collections, object scope)

object build_sequence_input_dyn(object features, object sequence_feature_columns, object context_feature_columns, object weight_collections, object scope)

ValueTuple<object, object> construct_rnn(IEnumerable<object> initial_state, IGraphNodeBase sequence_input, object cell, Nullable<int> num_label_columns, ImplicitContainer<T> dtype, Nullable<int> parallel_iterations, bool swap_memory)

ValueTuple<object, object> construct_rnn(IGraphNodeBase initial_state, IGraphNodeBase sequence_input, object cell, Nullable<int> num_label_columns, ImplicitContainer<T> dtype, Nullable<int> parallel_iterations, bool swap_memory)

ValueTuple<object, object> construct_rnn(PythonClassContainer initial_state, IGraphNodeBase sequence_input, object cell, Nullable<int> num_label_columns, ImplicitContainer<T> dtype, Nullable<int> parallel_iterations, bool swap_memory)

object construct_rnn_dyn(object initial_state, object sequence_input, object cell, object num_label_columns, ImplicitContainer<T> dtype, ImplicitContainer<T> parallel_iterations, ImplicitContainer<T> swap_memory)

object dict_to_state_tuple(IDictionary<string, IGraphNodeBase> input_dict, MultiRNNCell cell)

object dict_to_state_tuple_dyn(object input_dict, object cell)

IDictionary<string, Tensor> state_tuple_to_dict(IEnumerable<object> state)

IDictionary<string, Tensor> state_tuple_to_dict(IGraphNodeBase state)

object state_tuple_to_dict_dyn(object state)

Public properties

PythonFunctionContainer build_sequence_input_fn get;

PythonFunctionContainer construct_rnn_fn get;

PythonFunctionContainer dict_to_state_tuple_fn get;

PythonFunctionContainer DynamicRnnEstimator_fn get;

PythonFunctionContainer PredictionType_fn get;

PythonFunctionContainer state_tuple_to_dict_fn get;