Public static methods
object get_combined_model_fn(IEnumerable<object> model_fns)
object get_combined_model_fn_dyn(object model_fns)
object get_model_fn(ForestHParams params, PythonClassContainer graph_builder_class, object device_assigner, IEnumerable<object> feature_columns, object weights_name, _SingleHead model_head, string keys_name, int early_stopping_rounds, double early_stopping_loss_threshold, int num_trainers, int trainer_id, bool report_feature_importances, bool local_eval, Nullable<int> head_scope, bool include_all_in_serving, ImplicitContainer<T> output_type)
object get_model_fn(ForestHParams params, PythonClassContainer graph_builder_class, object device_assigner, IEnumerable<object> feature_columns, object weights_name, _Head model_head, string keys_name, int early_stopping_rounds, double early_stopping_loss_threshold, int num_trainers, int trainer_id, bool report_feature_importances, bool local_eval, Nullable<int> head_scope, bool include_all_in_serving, ImplicitContainer<T> output_type)
object get_model_fn_dyn(object params, object graph_builder_class, object device_assigner, object feature_columns, object weights_name, object model_head, object keys_name, ImplicitContainer<T> early_stopping_rounds, ImplicitContainer<T> early_stopping_loss_threshold, ImplicitContainer<T> num_trainers, ImplicitContainer<T> trainer_id, ImplicitContainer<T> report_feature_importances, ImplicitContainer<T> local_eval, object head_scope, ImplicitContainer<T> include_all_in_serving, ImplicitContainer<T> output_type)
Public properties
Public fields
string TREE_PATHS_PREDICTION_KEY
string VARIANCE_PREDICTION_KEY