LostTech.TensorFlow : API Documentation

Type RandomForestGraphs

Namespace tensorflow.contrib.tensor_forest.tensor_forest

Parent PythonObjectContainer

Interfaces IRandomForestGraphs

Methods

Properties

Public instance methods

object average_impurity_dyn()

object average_size_dyn()

object feature_importances_dyn()

object get_all_resource_handles()

object get_all_resource_handles_dyn()

ValueTuple<Tensor, object, object> inference_graph(IGraphNodeBase input_data, IDictionary<string, object> inference_args)

ValueTuple<Tensor, object, object> inference_graph(IEnumerable<object> input_data, IDictionary<string, object> inference_args)

ValueTuple<Tensor, object, object> inference_graph(IDictionary<object, object> input_data, IDictionary<string, object> inference_args)

object inference_graph_dyn(object input_data, IDictionary<string, object> inference_args)

object training_graph(IGraphNodeBase input_data, IEnumerable<int> input_labels, int num_trainers, int trainer_id, IDictionary<string, object> tree_kwargs)

object training_graph(IEnumerable<object> input_data, IGraphNodeBase input_labels, int num_trainers, int trainer_id, IDictionary<string, object> tree_kwargs)

object training_graph(IEnumerable<object> input_data, IEnumerable<int> input_labels, int num_trainers, int trainer_id, IDictionary<string, object> tree_kwargs)

object training_graph(IDictionary<object, object> input_data, IGraphNodeBase input_labels, int num_trainers, int trainer_id, IDictionary<string, object> tree_kwargs)

object training_graph(IDictionary<object, object> input_data, IEnumerable<int> input_labels, int num_trainers, int trainer_id, IDictionary<string, object> tree_kwargs)

object training_graph(IGraphNodeBase input_data, IGraphNodeBase input_labels, int num_trainers, int trainer_id, IDictionary<string, object> tree_kwargs)

object training_graph_dyn(object input_data, object input_labels, ImplicitContainer<T> num_trainers, ImplicitContainer<T> trainer_id, IDictionary<string, object> tree_kwargs)

object training_loss(IGraphNodeBase features, IGraphNodeBase labels, string name)

object training_loss_dyn(object features, object labels, ImplicitContainer<T> name)

object validation_loss_dyn(object features, object labels)

Public static methods

RandomForestGraphs NewDyn(object params, object tree_configs, object tree_stats, object device_assigner, object variables, ImplicitContainer<T> tree_variables_class, object tree_graphs, ImplicitContainer<T> training)

Public properties

VariableDeviceChooser device_assigner get; set;

ForestHParams params get; set;

object PythonObject get;

IList<object> trees get; set;

ForestVariables variables get; set;