Public instance methods
object get_max_tree_depth_dyn()
ValueTuple<Variable, object> get_number_of_trees_tensor()
object get_number_of_trees_tensor_dyn()
object increment_step_counter_and_maybe_update_ensemble(IDictionary<string, int> predictions_dict, object training_state)
object increment_step_counter_and_maybe_update_ensemble_dyn(object predictions_dict, object training_state)
object make_update_ensemble_fn(int ensemble_stamp, object training_state, int dropout_seed, ValueTuple<PythonClassContainer, PythonClassContainer> class_id)
object make_update_ensemble_fn(int ensemble_stamp, object training_state, int dropout_seed, int class_id)
object make_update_ensemble_fn(int ensemble_stamp, object training_state, int dropout_seed, IGraphNodeBase class_id)
object make_update_ensemble_fn_dyn(object ensemble_stamp, object training_state, object dropout_seed, object class_id)
IDictionary<string, Tensor> predict(string mode)
object train(IGraphNodeBase loss, IDictionary<string, IGraphNodeBase> predictions_dict, IGraphNodeBase labels, object gradients, object hessians)
object update_stats_dyn(object loss, object predictions_dict, object gradients, object hessians)
Public static methods
GradientBoostedDecisionTreeModel NewDyn(object is_chief, object num_ps_replicas, object ensemble_handle, object center_bias, object examples_per_layer, object learner_config, object features, object logits_dimension, ImplicitContainer<T> loss_reduction, object feature_columns, ImplicitContainer<T> use_core_columns, ImplicitContainer<T> output_leaf_index, object output_leaf_index_modes, ImplicitContainer<T> num_quantiles)
Public properties