Public static methods
object gradient_trees_partition_examples_eager_fallback(IGraphNodeBase tree_ensemble_handle, IEnumerable<ndarray> dense_float_features, IEnumerable<ndarray> sparse_float_feature_indices, IEnumerable<ndarray> sparse_float_feature_values, IEnumerable<ndarray> sparse_float_feature_shapes, IEnumerable<ndarray> sparse_int_feature_indices, IEnumerable<ndarray> sparse_int_feature_values, IEnumerable<ndarray> sparse_int_feature_shapes, bool use_locking, string name, Context ctx)
object gradient_trees_partition_examples_eager_fallback_dyn(object tree_ensemble_handle, object dense_float_features, object sparse_float_feature_indices, object sparse_float_feature_values, object sparse_float_feature_shapes, object sparse_int_feature_indices, object sparse_int_feature_values, object sparse_int_feature_shapes, ImplicitContainer<T> use_locking, object name, object ctx)
object gradient_trees_prediction_eager_fallback(IGraphNodeBase tree_ensemble_handle, IGraphNodeBase seed, IEnumerable<ndarray> dense_float_features, IEnumerable<ndarray> sparse_float_feature_indices, IEnumerable<ndarray> sparse_float_feature_values, IEnumerable<ndarray> sparse_float_feature_shapes, IEnumerable<ndarray> sparse_int_feature_indices, IEnumerable<ndarray> sparse_int_feature_values, IEnumerable<ndarray> sparse_int_feature_shapes, object learner_config, bool apply_dropout, bool apply_averaging, bool center_bias, bool reduce_dim, bool use_locking, string name, Context ctx)
object gradient_trees_prediction_eager_fallback(IGraphNodeBase tree_ensemble_handle, IGraphNodeBase seed, IEnumerable<ndarray> dense_float_features, IEnumerable<ndarray> sparse_float_feature_indices, IEnumerable<ndarray> sparse_float_feature_values, IEnumerable<ndarray> sparse_float_feature_shapes, IEnumerable<ndarray> sparse_int_feature_indices, IEnumerable<ndarray> sparse_int_feature_values, IEnumerable<ndarray> sparse_int_feature_shapes, object learner_config, bool apply_dropout, bool apply_averaging, Nullable<int> center_bias, bool reduce_dim, bool use_locking, string name, Context ctx)
object gradient_trees_prediction_eager_fallback_dyn(object tree_ensemble_handle, object seed, object dense_float_features, object sparse_float_feature_indices, object sparse_float_feature_values, object sparse_float_feature_shapes, object sparse_int_feature_indices, object sparse_int_feature_values, object sparse_int_feature_shapes, object learner_config, object apply_dropout, object apply_averaging, object center_bias, object reduce_dim, ImplicitContainer<T> use_locking, object name, object ctx)
object gradient_trees_prediction_verbose_eager_fallback(IGraphNodeBase tree_ensemble_handle, IGraphNodeBase seed, IEnumerable<object> dense_float_features, IEnumerable<object> sparse_float_feature_indices, IEnumerable<object> sparse_float_feature_values, IEnumerable<object> sparse_float_feature_shapes, IEnumerable<object> sparse_int_feature_indices, IEnumerable<object> sparse_int_feature_values, IEnumerable<object> sparse_int_feature_shapes, object learner_config, bool apply_dropout, bool apply_averaging, bool center_bias, bool reduce_dim, bool use_locking, string name, Context ctx)
object gradient_trees_prediction_verbose_eager_fallback(IGraphNodeBase tree_ensemble_handle, IGraphNodeBase seed, IEnumerable<object> dense_float_features, IEnumerable<object> sparse_float_feature_indices, IEnumerable<object> sparse_float_feature_values, IEnumerable<object> sparse_float_feature_shapes, IEnumerable<object> sparse_int_feature_indices, IEnumerable<object> sparse_int_feature_values, IEnumerable<object> sparse_int_feature_shapes, object learner_config, bool apply_dropout, bool apply_averaging, Nullable<int> center_bias, bool reduce_dim, bool use_locking, string name, Context ctx)
object gradient_trees_prediction_verbose_eager_fallback_dyn(object tree_ensemble_handle, object seed, object dense_float_features, object sparse_float_feature_indices, object sparse_float_feature_values, object sparse_float_feature_shapes, object sparse_int_feature_indices, object sparse_int_feature_values, object sparse_int_feature_shapes, object learner_config, object apply_dropout, object apply_averaging, object center_bias, object reduce_dim, ImplicitContainer<T> use_locking, object name, object ctx)
Tensor GradientTreesPartitionExamples(object tree_ensemble_handle, object dense_float_features, object sparse_float_feature_indices, object sparse_float_feature_values, object sparse_float_feature_shapes, object sparse_int_feature_indices, object sparse_int_feature_values, object sparse_int_feature_shapes, bool use_locking, string name)
object GradientTreesPartitionExamples_dyn(object tree_ensemble_handle, object dense_float_features, object sparse_float_feature_indices, object sparse_float_feature_values, object sparse_float_feature_shapes, object sparse_int_feature_indices, object sparse_int_feature_values, object sparse_int_feature_shapes, ImplicitContainer<T> use_locking, object name)
object GradientTreesPrediction(object tree_ensemble_handle, object seed, object dense_float_features, object sparse_float_feature_indices, object sparse_float_feature_values, object sparse_float_feature_shapes, object sparse_int_feature_indices, object sparse_int_feature_values, object sparse_int_feature_shapes, object learner_config, object apply_dropout, object apply_averaging, object center_bias, object reduce_dim, bool use_locking, string name)
object GradientTreesPrediction_dyn(object tree_ensemble_handle, object seed, object dense_float_features, object sparse_float_feature_indices, object sparse_float_feature_values, object sparse_float_feature_shapes, object sparse_int_feature_indices, object sparse_int_feature_values, object sparse_int_feature_shapes, object learner_config, object apply_dropout, object apply_averaging, object center_bias, object reduce_dim, ImplicitContainer<T> use_locking, object name)
object GradientTreesPredictionVerbose(object tree_ensemble_handle, object seed, object dense_float_features, object sparse_float_feature_indices, object sparse_float_feature_values, object sparse_float_feature_shapes, object sparse_int_feature_indices, object sparse_int_feature_values, object sparse_int_feature_shapes, object learner_config, object apply_dropout, object apply_averaging, object center_bias, object reduce_dim, bool use_locking, string name)
object GradientTreesPredictionVerbose_dyn(object tree_ensemble_handle, object seed, object dense_float_features, object sparse_float_feature_indices, object sparse_float_feature_values, object sparse_float_feature_shapes, object sparse_int_feature_indices, object sparse_int_feature_values, object sparse_int_feature_shapes, object learner_config, object apply_dropout, object apply_averaging, object center_bias, object reduce_dim, ImplicitContainer<T> use_locking, object name)
Public properties