LostTech.TensorFlow : API Documentation

Type gen_training_ops

Namespace tensorflow.contrib.boosted_trees.gen_training_ops

Methods

Properties

Public static methods

object center_tree_ensemble_bias_eager_fallback(IGraphNodeBase tree_ensemble_handle, IGraphNodeBase stamp_token, IGraphNodeBase next_stamp_token, IGraphNodeBase delta_updates, object learner_config, double centering_epsilon, string name, Context ctx)

object center_tree_ensemble_bias_eager_fallback_dyn(object tree_ensemble_handle, object stamp_token, object next_stamp_token, object delta_updates, object learner_config, ImplicitContainer<T> centering_epsilon, object name, object ctx)

Tensor CenterTreeEnsembleBias(object tree_ensemble_handle, object stamp_token, object next_stamp_token, object delta_updates, object learner_config, double centering_epsilon, string name)

object CenterTreeEnsembleBias_dyn(object tree_ensemble_handle, object stamp_token, object next_stamp_token, object delta_updates, object learner_config, ImplicitContainer<T> centering_epsilon, object name)

object grow_tree_ensemble_eager_fallback(IGraphNodeBase tree_ensemble_handle, IGraphNodeBase stamp_token, IGraphNodeBase next_stamp_token, IGraphNodeBase learning_rate, IGraphNodeBase dropout_seed, IGraphNodeBase max_tree_depth, IGraphNodeBase weak_learner_type, IEnumerable<ndarray> partition_ids, IEnumerable<ndarray> gains, IEnumerable<object> splits, object learner_config, bool center_bias, string name, Context ctx)

object grow_tree_ensemble_eager_fallback(IGraphNodeBase tree_ensemble_handle, IGraphNodeBase stamp_token, IGraphNodeBase next_stamp_token, IGraphNodeBase learning_rate, IGraphNodeBase dropout_seed, IGraphNodeBase max_tree_depth, IGraphNodeBase weak_learner_type, IEnumerable<ndarray> partition_ids, IEnumerable<ndarray> gains, IEnumerable<object> splits, object learner_config, Nullable<int> center_bias, string name, Context ctx)

object grow_tree_ensemble_eager_fallback_dyn(object tree_ensemble_handle, object stamp_token, object next_stamp_token, object learning_rate, object dropout_seed, object max_tree_depth, object weak_learner_type, object partition_ids, object gains, object splits, object learner_config, object center_bias, object name, object ctx)

object GrowTreeEnsemble(object tree_ensemble_handle, object stamp_token, object next_stamp_token, object learning_rate, object dropout_seed, object max_tree_depth, object weak_learner_type, object partition_ids, object gains, object splits, object learner_config, object center_bias, string name)

object GrowTreeEnsemble_dyn(object tree_ensemble_handle, object stamp_token, object next_stamp_token, object learning_rate, object dropout_seed, object max_tree_depth, object weak_learner_type, object partition_ids, object gains, object splits, object learner_config, object center_bias, object name)

object tree_ensemble_stats_eager_fallback(IGraphNodeBase tree_ensemble_handle, IGraphNodeBase stamp_token, string name, Context ctx)

object tree_ensemble_stats_eager_fallback_dyn(object tree_ensemble_handle, object stamp_token, object name, object ctx)

object TreeEnsembleStats(object tree_ensemble_handle, object stamp_token, string name)

object TreeEnsembleStats_dyn(object tree_ensemble_handle, object stamp_token, object name)

Public properties

PythonFunctionContainer center_tree_ensemble_bias_eager_fallback_fn get;

PythonFunctionContainer CenterTreeEnsembleBias_fn get;

PythonFunctionContainer grow_tree_ensemble_eager_fallback_fn get;

PythonFunctionContainer GrowTreeEnsemble_fn get;

PythonFunctionContainer tree_ensemble_stats_eager_fallback_fn get;

PythonFunctionContainer TreeEnsembleStats_fn get;