LostTech.TensorFlow : API Documentation

Type gen_split_handler_ops

Namespace tensorflow.contrib.boosted_trees.gen_split_handler_ops

Methods

Properties

Public static methods

object build_categorical_equality_splits_eager_fallback(IGraphNodeBase num_minibatches, IGraphNodeBase partition_ids, IGraphNodeBase feature_ids, IGraphNodeBase gradients, IGraphNodeBase hessians, IGraphNodeBase class_id, IGraphNodeBase feature_column_group_id, IGraphNodeBase bias_feature_id, IGraphNodeBase l1_regularization, IGraphNodeBase l2_regularization, IGraphNodeBase tree_complexity_regularization, IGraphNodeBase min_node_weight, IGraphNodeBase multiclass_strategy, IGraphNodeBase weak_learner_type, string name, Context ctx)

object build_categorical_equality_splits_eager_fallback_dyn(object num_minibatches, object partition_ids, object feature_ids, object gradients, object hessians, object class_id, object feature_column_group_id, object bias_feature_id, object l1_regularization, object l2_regularization, object tree_complexity_regularization, object min_node_weight, object multiclass_strategy, object weak_learner_type, object name, object ctx)

object build_dense_inequality_splits_eager_fallback(IGraphNodeBase num_minibatches, IGraphNodeBase partition_ids, IGraphNodeBase bucket_ids, IGraphNodeBase gradients, IGraphNodeBase hessians, IGraphNodeBase bucket_boundaries, IGraphNodeBase class_id, IGraphNodeBase feature_column_group_id, IGraphNodeBase l1_regularization, IGraphNodeBase l2_regularization, IGraphNodeBase tree_complexity_regularization, IGraphNodeBase min_node_weight, IGraphNodeBase multiclass_strategy, IGraphNodeBase weak_learner_type, string name, Context ctx)

object build_dense_inequality_splits_eager_fallback_dyn(object num_minibatches, object partition_ids, object bucket_ids, object gradients, object hessians, object bucket_boundaries, object class_id, object feature_column_group_id, object l1_regularization, object l2_regularization, object tree_complexity_regularization, object min_node_weight, object multiclass_strategy, object weak_learner_type, object name, object ctx)

object build_sparse_inequality_splits_eager_fallback(IGraphNodeBase num_minibatches, IGraphNodeBase partition_ids, IGraphNodeBase bucket_ids, IGraphNodeBase gradients, IGraphNodeBase hessians, IGraphNodeBase bucket_boundaries, IGraphNodeBase class_id, IGraphNodeBase feature_column_group_id, IGraphNodeBase bias_feature_id, IGraphNodeBase l1_regularization, IGraphNodeBase l2_regularization, IGraphNodeBase tree_complexity_regularization, IGraphNodeBase min_node_weight, IGraphNodeBase multiclass_strategy, string name, Context ctx)

object build_sparse_inequality_splits_eager_fallback_dyn(object num_minibatches, object partition_ids, object bucket_ids, object gradients, object hessians, object bucket_boundaries, object class_id, object feature_column_group_id, object bias_feature_id, object l1_regularization, object l2_regularization, object tree_complexity_regularization, object min_node_weight, object multiclass_strategy, object name, object ctx)

object BuildCategoricalEqualitySplits(object num_minibatches, object partition_ids, object feature_ids, object gradients, object hessians, object class_id, object feature_column_group_id, object bias_feature_id, object l1_regularization, object l2_regularization, object tree_complexity_regularization, object min_node_weight, object multiclass_strategy, object weak_learner_type, string name)

object BuildCategoricalEqualitySplits_dyn(object num_minibatches, object partition_ids, object feature_ids, object gradients, object hessians, object class_id, object feature_column_group_id, object bias_feature_id, object l1_regularization, object l2_regularization, object tree_complexity_regularization, object min_node_weight, object multiclass_strategy, object weak_learner_type, object name)

object BuildDenseInequalitySplits(object num_minibatches, object partition_ids, object bucket_ids, object gradients, object hessians, object bucket_boundaries, object class_id, object feature_column_group_id, object l1_regularization, object l2_regularization, object tree_complexity_regularization, object min_node_weight, object multiclass_strategy, object weak_learner_type, string name)

object BuildDenseInequalitySplits_dyn(object num_minibatches, object partition_ids, object bucket_ids, object gradients, object hessians, object bucket_boundaries, object class_id, object feature_column_group_id, object l1_regularization, object l2_regularization, object tree_complexity_regularization, object min_node_weight, object multiclass_strategy, object weak_learner_type, object name)

object BuildSparseInequalitySplits(object num_minibatches, object partition_ids, object bucket_ids, object gradients, object hessians, object bucket_boundaries, object class_id, object feature_column_group_id, object bias_feature_id, object l1_regularization, object l2_regularization, object tree_complexity_regularization, object min_node_weight, object multiclass_strategy, string name)

object BuildSparseInequalitySplits_dyn(object num_minibatches, object partition_ids, object bucket_ids, object gradients, object hessians, object bucket_boundaries, object class_id, object feature_column_group_id, object bias_feature_id, object l1_regularization, object l2_regularization, object tree_complexity_regularization, object min_node_weight, object multiclass_strategy, object name)

Public properties

PythonFunctionContainer build_categorical_equality_splits_eager_fallback_fn get;

PythonFunctionContainer build_dense_inequality_splits_eager_fallback_fn get;

PythonFunctionContainer build_sparse_inequality_splits_eager_fallback_fn get;

PythonFunctionContainer BuildCategoricalEqualitySplits_fn get;

PythonFunctionContainer BuildDenseInequalitySplits_fn get;

PythonFunctionContainer BuildSparseInequalitySplits_fn get;