LostTech.TensorFlow : API Documentation

Type metrics

Namespace tensorflow.contrib.metrics

Methods

Properties

Public static methods

Tensor accuracy(IGraphNodeBase predictions, IGraphNodeBase labels, object weights, string name)

object accuracy_dyn(object predictions, object labels, object weights, object name)

ValueTuple<IDictionary<object, object>, object> aggregate_metric_map(IDictionary<string, object> names_to_tuples)

object aggregate_metric_map_dyn(object names_to_tuples)

ValueTuple<IList<object>, object> aggregate_metrics(Object[] value_update_tuples)

object aggregate_metrics_dyn(Object[] value_update_tuples)

ValueTuple<Tensor, object> auc_using_histogram(IGraphNodeBase boolean_labels, IGraphNodeBase scores, IEnumerable<double> score_range, int nbins, object collections, bool check_shape, string name)

object auc_using_histogram_dyn(object boolean_labels, object scores, object score_range, ImplicitContainer<T> nbins, object collections, ImplicitContainer<T> check_shape, object name)

ValueTuple<ValueTuple<object, object>, object> auc_with_confidence_intervals(double labels, IGraphNodeBase predictions, IGraphNodeBase weights, double alpha, bool logit_transformation, ImplicitContainer<T> metrics_collections, ImplicitContainer<T> updates_collections, string name)

ValueTuple<ValueTuple<object, object>, object> auc_with_confidence_intervals(ValueTuple<PythonClassContainer, PythonClassContainer> labels, IGraphNodeBase predictions, IGraphNodeBase weights, double alpha, bool logit_transformation, ImplicitContainer<T> metrics_collections, ImplicitContainer<T> updates_collections, string name)

ValueTuple<ValueTuple<object, object>, object> auc_with_confidence_intervals(IGraphNodeBase labels, IGraphNodeBase predictions, IGraphNodeBase weights, double alpha, bool logit_transformation, ImplicitContainer<T> metrics_collections, ImplicitContainer<T> updates_collections, string name)

ValueTuple<ValueTuple<object, object>, object> auc_with_confidence_intervals(ndarray labels, IGraphNodeBase predictions, IGraphNodeBase weights, double alpha, bool logit_transformation, ImplicitContainer<T> metrics_collections, ImplicitContainer<T> updates_collections, string name)

ValueTuple<ValueTuple<object, object>, object> auc_with_confidence_intervals(IEnumerable<object> labels, IGraphNodeBase predictions, IGraphNodeBase weights, double alpha, bool logit_transformation, ImplicitContainer<T> metrics_collections, ImplicitContainer<T> updates_collections, string name)

object auc_with_confidence_intervals_dyn(object labels, object predictions, object weights, ImplicitContainer<T> alpha, ImplicitContainer<T> logit_transformation, ImplicitContainer<T> metrics_collections, ImplicitContainer<T> updates_collections, object name)

ValueTuple<object, object> cohen_kappa(ndarray labels, double predictions_idx, int num_classes, object weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> cohen_kappa(ndarray labels, ndarray predictions_idx, int num_classes, object weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> cohen_kappa(ndarray labels, ValueTuple<PythonClassContainer, PythonClassContainer> predictions_idx, int num_classes, object weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> cohen_kappa(double labels, ValueTuple<PythonClassContainer, PythonClassContainer> predictions_idx, int num_classes, object weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> cohen_kappa(IEnumerable<object> labels, double predictions_idx, int num_classes, object weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> cohen_kappa(double labels, ndarray predictions_idx, int num_classes, object weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> cohen_kappa(IGraphNodeBase labels, IGraphNodeBase predictions_idx, int num_classes, object weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> cohen_kappa(double labels, double predictions_idx, int num_classes, object weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> cohen_kappa(IEnumerable<object> labels, ndarray predictions_idx, int num_classes, object weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> cohen_kappa(double labels, IGraphNodeBase predictions_idx, int num_classes, object weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> cohen_kappa(ndarray labels, IGraphNodeBase predictions_idx, int num_classes, object weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> cohen_kappa(IGraphNodeBase labels, ValueTuple<PythonClassContainer, PythonClassContainer> predictions_idx, int num_classes, object weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> cohen_kappa(IEnumerable<object> labels, IGraphNodeBase predictions_idx, int num_classes, object weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> cohen_kappa(ValueTuple<PythonClassContainer, PythonClassContainer> labels, double predictions_idx, int num_classes, object weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> cohen_kappa(ValueTuple<PythonClassContainer, PythonClassContainer> labels, ndarray predictions_idx, int num_classes, object weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> cohen_kappa(ValueTuple<PythonClassContainer, PythonClassContainer> labels, ValueTuple<PythonClassContainer, PythonClassContainer> predictions_idx, int num_classes, object weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> cohen_kappa(ValueTuple<PythonClassContainer, PythonClassContainer> labels, IGraphNodeBase predictions_idx, int num_classes, object weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> cohen_kappa(IGraphNodeBase labels, double predictions_idx, int num_classes, object weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> cohen_kappa(IGraphNodeBase labels, ndarray predictions_idx, int num_classes, object weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> cohen_kappa(IEnumerable<object> labels, ValueTuple<PythonClassContainer, PythonClassContainer> predictions_idx, int num_classes, object weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

object cohen_kappa_dyn(object labels, object predictions_idx, object num_classes, object weights, object metrics_collections, object updates_collections, object name)

Tensor confusion_matrix(object labels, object predictions, object num_classes, ImplicitContainer<T> dtype, string name, object weights)

ValueTuple<object, object> count(IGraphNodeBase values, IDictionary<object, object> weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

object count_dyn(object values, object weights, object metrics_collections, object updates_collections, object name)

ValueTuple<object, object> f1_score(IGraphNodeBase labels, IGraphNodeBase predictions, IGraphNodeBase weights, int num_thresholds, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> f1_score(IGraphNodeBase labels, ValueTuple<PythonClassContainer, PythonClassContainer> predictions, IGraphNodeBase weights, int num_thresholds, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> f1_score(IGraphNodeBase labels, ndarray predictions, IGraphNodeBase weights, int num_thresholds, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> f1_score(IGraphNodeBase labels, double predictions, IGraphNodeBase weights, int num_thresholds, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

object f1_score_dyn(object labels, object predictions, object weights, ImplicitContainer<T> num_thresholds, object metrics_collections, object updates_collections, object name)

ValueTuple<object, object> precision_at_recall(ValueTuple<PythonClassContainer, PythonClassContainer> labels, IGraphNodeBase predictions, double target_recall, IGraphNodeBase weights, int num_thresholds, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> precision_at_recall(IEnumerable<int> labels, IGraphNodeBase predictions, double target_recall, IGraphNodeBase weights, int num_thresholds, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> precision_at_recall(IGraphNodeBase labels, IGraphNodeBase predictions, double target_recall, IGraphNodeBase weights, int num_thresholds, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> precision_at_recall(IndexedSlices labels, IGraphNodeBase predictions, double target_recall, IGraphNodeBase weights, int num_thresholds, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

object precision_at_recall_dyn(object labels, object predictions, object target_recall, object weights, ImplicitContainer<T> num_thresholds, object metrics_collections, object updates_collections, object name)

ValueTuple<object, object> precision_recall_at_equal_thresholds(IGraphNodeBase labels, ValueTuple<PythonClassContainer, PythonClassContainer> predictions, object weights, Nullable<int> num_thresholds, Nullable<bool> use_locking, string name)

ValueTuple<object, object> precision_recall_at_equal_thresholds(IGraphNodeBase labels, IGraphNodeBase predictions, object weights, Nullable<int> num_thresholds, Nullable<bool> use_locking, string name)

ValueTuple<object, object> precision_recall_at_equal_thresholds(ValueTuple<PythonClassContainer, PythonClassContainer> labels, ndarray predictions, object weights, Nullable<int> num_thresholds, Nullable<bool> use_locking, string name)

ValueTuple<object, object> precision_recall_at_equal_thresholds(double labels, ValueTuple<PythonClassContainer, PythonClassContainer> predictions, object weights, Nullable<int> num_thresholds, Nullable<bool> use_locking, string name)

ValueTuple<object, object> precision_recall_at_equal_thresholds(IGraphNodeBase labels, ndarray predictions, object weights, Nullable<int> num_thresholds, Nullable<bool> use_locking, string name)

ValueTuple<object, object> precision_recall_at_equal_thresholds(ValueTuple<PythonClassContainer, PythonClassContainer> labels, ValueTuple<PythonClassContainer, PythonClassContainer> predictions, object weights, Nullable<int> num_thresholds, Nullable<bool> use_locking, string name)

ValueTuple<object, object> precision_recall_at_equal_thresholds(ValueTuple<PythonClassContainer, PythonClassContainer> labels, IGraphNodeBase predictions, object weights, Nullable<int> num_thresholds, Nullable<bool> use_locking, string name)

ValueTuple<object, object> precision_recall_at_equal_thresholds(ndarray labels, ndarray predictions, object weights, Nullable<int> num_thresholds, Nullable<bool> use_locking, string name)

ValueTuple<object, object> precision_recall_at_equal_thresholds(double labels, double predictions, object weights, Nullable<int> num_thresholds, Nullable<bool> use_locking, string name)

ValueTuple<object, object> precision_recall_at_equal_thresholds(ndarray labels, double predictions, object weights, Nullable<int> num_thresholds, Nullable<bool> use_locking, string name)

ValueTuple<object, object> precision_recall_at_equal_thresholds(ndarray labels, ValueTuple<PythonClassContainer, PythonClassContainer> predictions, object weights, Nullable<int> num_thresholds, Nullable<bool> use_locking, string name)

ValueTuple<object, object> precision_recall_at_equal_thresholds(ndarray labels, IGraphNodeBase predictions, object weights, Nullable<int> num_thresholds, Nullable<bool> use_locking, string name)

ValueTuple<object, object> precision_recall_at_equal_thresholds(IEnumerable<object> labels, double predictions, object weights, Nullable<int> num_thresholds, Nullable<bool> use_locking, string name)

ValueTuple<object, object> precision_recall_at_equal_thresholds(IEnumerable<object> labels, ndarray predictions, object weights, Nullable<int> num_thresholds, Nullable<bool> use_locking, string name)

ValueTuple<object, object> precision_recall_at_equal_thresholds(IEnumerable<object> labels, ValueTuple<PythonClassContainer, PythonClassContainer> predictions, object weights, Nullable<int> num_thresholds, Nullable<bool> use_locking, string name)

ValueTuple<object, object> precision_recall_at_equal_thresholds(IEnumerable<object> labels, IGraphNodeBase predictions, object weights, Nullable<int> num_thresholds, Nullable<bool> use_locking, string name)

ValueTuple<object, object> precision_recall_at_equal_thresholds(double labels, IGraphNodeBase predictions, object weights, Nullable<int> num_thresholds, Nullable<bool> use_locking, string name)

ValueTuple<object, object> precision_recall_at_equal_thresholds(ValueTuple<PythonClassContainer, PythonClassContainer> labels, double predictions, object weights, Nullable<int> num_thresholds, Nullable<bool> use_locking, string name)

ValueTuple<object, object> precision_recall_at_equal_thresholds(IGraphNodeBase labels, double predictions, object weights, Nullable<int> num_thresholds, Nullable<bool> use_locking, string name)

ValueTuple<object, object> precision_recall_at_equal_thresholds(double labels, ndarray predictions, object weights, Nullable<int> num_thresholds, Nullable<bool> use_locking, string name)

object precision_recall_at_equal_thresholds_dyn(object labels, object predictions, object weights, object num_thresholds, object use_locking, object name)

ValueTuple<object, object> recall_at_precision(IGraphNodeBase labels, IGraphNodeBase predictions, double precision, IGraphNodeBase weights, int num_thresholds, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name, bool strict_mode)

object recall_at_precision_dyn(object labels, object predictions, object precision, object weights, ImplicitContainer<T> num_thresholds, object metrics_collections, object updates_collections, object name, ImplicitContainer<T> strict_mode)

ValueTuple<object, Tensor> sparse_recall_at_top_k(object labels, IGraphNodeBase top_k_predictions, Nullable<int> class_id, IGraphNodeBase weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> sparse_recall_at_top_k(object labels, IGraphNodeBase top_k_predictions, Nullable<int> class_id, ValueTuple<double> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> sparse_recall_at_top_k(object labels, IGraphNodeBase top_k_predictions, Nullable<int> class_id, IEnumerable<object> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> sparse_recall_at_top_k(ndarray labels, IGraphNodeBase top_k_predictions, Nullable<int> class_id, IGraphNodeBase weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> sparse_recall_at_top_k(ndarray labels, IGraphNodeBase top_k_predictions, Nullable<int> class_id, ValueTuple<double> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> sparse_recall_at_top_k(ndarray labels, IGraphNodeBase top_k_predictions, Nullable<int> class_id, IEnumerable<object> weights, object metrics_collections, object updates_collections, string name)

object sparse_recall_at_top_k_dyn(object labels, object top_k_predictions, object class_id, object weights, object metrics_collections, object updates_collections, object name)

ValueTuple<object, Tensor> streaming_accuracy(IGraphNodeBase predictions, IGraphNodeBase labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, Tensor> streaming_accuracy(IGraphNodeBase predictions, IGraphNodeBase labels, IDictionary<object, object> weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, Tensor> streaming_accuracy(IGraphNodeBase predictions, IDictionary<object, object> labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, Tensor> streaming_accuracy(IDictionary<object, object> predictions, IGraphNodeBase labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, Tensor> streaming_accuracy(ValueTuple<PythonClassContainer, PythonClassContainer> predictions, IDictionary<object, object> labels, IDictionary<object, object> weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, Tensor> streaming_accuracy(ValueTuple<PythonClassContainer, PythonClassContainer> predictions, IGraphNodeBase labels, IDictionary<object, object> weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, Tensor> streaming_accuracy(ValueTuple<PythonClassContainer, PythonClassContainer> predictions, IGraphNodeBase labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, Tensor> streaming_accuracy(IndexedSlices predictions, IDictionary<object, object> labels, IDictionary<object, object> weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, Tensor> streaming_accuracy(IndexedSlices predictions, IDictionary<object, object> labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, Tensor> streaming_accuracy(IndexedSlices predictions, IGraphNodeBase labels, IDictionary<object, object> weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, Tensor> streaming_accuracy(IndexedSlices predictions, IGraphNodeBase labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, Tensor> streaming_accuracy(IGraphNodeBase predictions, IDictionary<object, object> labels, IDictionary<object, object> weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, Tensor> streaming_accuracy(IDictionary<object, object> predictions, IDictionary<object, object> labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, Tensor> streaming_accuracy(ValueTuple<PythonClassContainer, PythonClassContainer> predictions, IDictionary<object, object> labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, Tensor> streaming_accuracy(IDictionary<object, object> predictions, IGraphNodeBase labels, IDictionary<object, object> weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, Tensor> streaming_accuracy(IDictionary<object, object> predictions, IDictionary<object, object> labels, IDictionary<object, object> weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

object streaming_accuracy_dyn(object predictions, object labels, object weights, object metrics_collections, object updates_collections, object name)

ValueTuple<object, object> streaming_auc(IGraphNodeBase predictions, IDictionary<object, object> labels, IndexedSlices weights, int num_thresholds, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string curve, string name)

ValueTuple<object, object> streaming_auc(IGraphNodeBase predictions, IGraphNodeBase labels, ValueTuple<PythonClassContainer, PythonClassContainer> weights, int num_thresholds, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string curve, string name)

ValueTuple<object, object> streaming_auc(IGraphNodeBase predictions, IDictionary<object, object> labels, ValueTuple<PythonClassContainer, PythonClassContainer> weights, int num_thresholds, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string curve, string name)

ValueTuple<object, object> streaming_auc(IGraphNodeBase predictions, IDictionary<object, object> labels, IGraphNodeBase weights, int num_thresholds, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string curve, string name)

ValueTuple<object, object> streaming_auc(IGraphNodeBase predictions, IGraphNodeBase labels, IGraphNodeBase weights, int num_thresholds, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string curve, string name)

ValueTuple<object, object> streaming_auc(IGraphNodeBase predictions, IGraphNodeBase labels, IndexedSlices weights, int num_thresholds, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string curve, string name)

object streaming_auc_dyn(object predictions, object labels, object weights, ImplicitContainer<T> num_thresholds, object metrics_collections, object updates_collections, ImplicitContainer<T> curve, object name)

ValueTuple<Tensor, object> streaming_concat(IGraphNodeBase values, int axis, Nullable<int> max_size, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<Tensor, object> streaming_concat(ndarray values, int axis, Nullable<int> max_size, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<Tensor, object> streaming_concat(double values, int axis, Nullable<int> max_size, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<Tensor, object> streaming_concat(ValueTuple<PythonClassContainer, PythonClassContainer> values, int axis, Nullable<int> max_size, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<Tensor, object> streaming_concat(IEnumerable<object> values, int axis, Nullable<int> max_size, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

object streaming_concat_dyn(object values, ImplicitContainer<T> axis, object max_size, object metrics_collections, object updates_collections, object name)

ValueTuple<Tensor, object> streaming_covariance(IGraphNodeBase predictions, IGraphNodeBase labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

object streaming_covariance_dyn(object predictions, object labels, object weights, object metrics_collections, object updates_collections, object name)

ValueTuple<Tensor, object> streaming_curve_points(IGraphNodeBase labels, IGraphNodeBase predictions, object weights, int num_thresholds, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string curve, string name)

object streaming_curve_points_dyn(object labels, object predictions, object weights, ImplicitContainer<T> num_thresholds, object metrics_collections, object updates_collections, ImplicitContainer<T> curve, object name)

ValueTuple<object, object> streaming_dynamic_auc(IGraphNodeBase labels, IGraphNodeBase predictions, string curve, ImplicitContainer<T> metrics_collections, ImplicitContainer<T> updates_collections, string name, Variable weights)

ValueTuple<object, object> streaming_dynamic_auc(IGraphNodeBase labels, IGraphNodeBase predictions, string curve, ImplicitContainer<T> metrics_collections, IEnumerable<string> updates_collections, string name, Variable weights)

ValueTuple<object, object> streaming_dynamic_auc(IGraphNodeBase labels, IGraphNodeBase predictions, string curve, IEnumerable<string> metrics_collections, ImplicitContainer<T> updates_collections, string name, Variable weights)

ValueTuple<object, object> streaming_dynamic_auc(IGraphNodeBase labels, IGraphNodeBase predictions, string curve, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name, Variable weights)

object streaming_dynamic_auc_dyn(object labels, object predictions, ImplicitContainer<T> curve, ImplicitContainer<T> metrics_collections, ImplicitContainer<T> updates_collections, object name, object weights)

ValueTuple<object, object> streaming_false_negative_rate(ndarray predictions, ndarray labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_negative_rate(ndarray predictions, double labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_negative_rate(double predictions, double labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_negative_rate(double predictions, ndarray labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_negative_rate(double predictions, ValueTuple<PythonClassContainer, PythonClassContainer> labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_negative_rate(ndarray predictions, IEnumerable<object> labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_negative_rate(double predictions, IEnumerable<object> labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_negative_rate(ndarray predictions, ValueTuple<PythonClassContainer, PythonClassContainer> labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_negative_rate(ndarray predictions, IGraphNodeBase labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_negative_rate(ValueTuple<PythonClassContainer, PythonClassContainer> predictions, double labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_negative_rate(ValueTuple<PythonClassContainer, PythonClassContainer> predictions, ndarray labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_negative_rate(ValueTuple<PythonClassContainer, PythonClassContainer> predictions, IEnumerable<object> labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_negative_rate(ValueTuple<PythonClassContainer, PythonClassContainer> predictions, ValueTuple<PythonClassContainer, PythonClassContainer> labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_negative_rate(ValueTuple<PythonClassContainer, PythonClassContainer> predictions, IGraphNodeBase labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_negative_rate(IGraphNodeBase predictions, ndarray labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_negative_rate(IGraphNodeBase predictions, IEnumerable<object> labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_negative_rate(IGraphNodeBase predictions, ValueTuple<PythonClassContainer, PythonClassContainer> labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_negative_rate(IGraphNodeBase predictions, IGraphNodeBase labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_negative_rate(IGraphNodeBase predictions, double labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_negative_rate(double predictions, IGraphNodeBase labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_negative_rate_at_thresholds(IGraphNodeBase predictions, IGraphNodeBase labels, IEnumerable<double> thresholds, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_negative_rate_at_thresholds(IDictionary<object, object> predictions, IDictionary<object, object> labels, IEnumerable<double> thresholds, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_negative_rate_at_thresholds(IDictionary<object, object> predictions, IGraphNodeBase labels, IEnumerable<double> thresholds, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_negative_rate_at_thresholds(IGraphNodeBase predictions, IDictionary<object, object> labels, IEnumerable<double> thresholds, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

object streaming_false_negative_rate_at_thresholds_dyn(object predictions, object labels, object thresholds, object weights, object metrics_collections, object updates_collections, object name)

object streaming_false_negative_rate_dyn(object predictions, object labels, object weights, object metrics_collections, object updates_collections, object name)

ValueTuple<object, Tensor> streaming_false_negatives(IndexedSlices predictions, IGraphNodeBase labels, Nullable<ValueTuple<object, object, object>> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_false_negatives(ValueTuple<PythonClassContainer, PythonClassContainer> predictions, IGraphNodeBase labels, Nullable<ValueTuple<object, object, object>> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_false_negatives(IndexedSlices predictions, ValueTuple<PythonClassContainer, PythonClassContainer> labels, Nullable<ValueTuple<object, object, object>> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_false_negatives(IndexedSlices predictions, IndexedSlices labels, Nullable<ValueTuple<object, object, object>> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_false_negatives(ValueTuple<PythonClassContainer, PythonClassContainer> predictions, ValueTuple<PythonClassContainer, PythonClassContainer> labels, Nullable<ValueTuple<object, object, object>> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_false_negatives(IGraphNodeBase predictions, ValueTuple<PythonClassContainer, PythonClassContainer> labels, Nullable<ValueTuple<object, object, object>> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_false_negatives(ValueTuple<PythonClassContainer, PythonClassContainer> predictions, IndexedSlices labels, Nullable<ValueTuple<object, object, object>> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_false_negatives(IGraphNodeBase predictions, IGraphNodeBase labels, Nullable<ValueTuple<object, object, object>> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_false_negatives(IGraphNodeBase predictions, IndexedSlices labels, Nullable<ValueTuple<object, object, object>> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, object> streaming_false_negatives_at_thresholds(IGraphNodeBase predictions, IGraphNodeBase labels, ValueTuple<double, object, object> thresholds, Nullable<ValueTuple<object, object, object>> weights)

ValueTuple<object, object> streaming_false_negatives_at_thresholds(IGraphNodeBase predictions, ValueTuple<int, int, object> labels, ValueTuple<double, object, object> thresholds, Nullable<ValueTuple<object, object, object>> weights)

ValueTuple<object, object> streaming_false_negatives_at_thresholds(ValueTuple<double, object, object> predictions, IGraphNodeBase labels, ValueTuple<double, object, object> thresholds, Nullable<ValueTuple<object, object, object>> weights)

ValueTuple<object, object> streaming_false_negatives_at_thresholds(ValueTuple<double, object, object> predictions, ValueTuple<int, int, object> labels, ValueTuple<double, object, object> thresholds, Nullable<ValueTuple<object, object, object>> weights)

object streaming_false_negatives_at_thresholds_dyn(object predictions, object labels, object thresholds, object weights)

object streaming_false_negatives_dyn(object predictions, object labels, object weights, object metrics_collections, object updates_collections, object name)

ValueTuple<object, object> streaming_false_positive_rate(ValueTuple<PythonClassContainer, PythonClassContainer> predictions, double labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_positive_rate(ValueTuple<PythonClassContainer, PythonClassContainer> predictions, ndarray labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_positive_rate(ValueTuple<PythonClassContainer, PythonClassContainer> predictions, IEnumerable<object> labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_positive_rate(ValueTuple<PythonClassContainer, PythonClassContainer> predictions, ValueTuple<PythonClassContainer, PythonClassContainer> labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_positive_rate(IGraphNodeBase predictions, IGraphNodeBase labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_positive_rate(ndarray predictions, IGraphNodeBase labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_positive_rate(ndarray predictions, IEnumerable<object> labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_positive_rate(ndarray predictions, ndarray labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_positive_rate(ndarray predictions, double labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_positive_rate(double predictions, IGraphNodeBase labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_positive_rate(double predictions, ValueTuple<PythonClassContainer, PythonClassContainer> labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_positive_rate(double predictions, IEnumerable<object> labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_positive_rate(double predictions, ndarray labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_positive_rate(double predictions, double labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_positive_rate(IGraphNodeBase predictions, double labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_positive_rate(IGraphNodeBase predictions, ndarray labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_positive_rate(IGraphNodeBase predictions, IEnumerable<object> labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_positive_rate(IGraphNodeBase predictions, ValueTuple<PythonClassContainer, PythonClassContainer> labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_positive_rate(ndarray predictions, ValueTuple<PythonClassContainer, PythonClassContainer> labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_positive_rate(ValueTuple<PythonClassContainer, PythonClassContainer> predictions, IGraphNodeBase labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_positive_rate_at_thresholds(IDictionary<object, object> predictions, IGraphNodeBase labels, IEnumerable<double> thresholds, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_positive_rate_at_thresholds(IGraphNodeBase predictions, IGraphNodeBase labels, IEnumerable<double> thresholds, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_positive_rate_at_thresholds(IGraphNodeBase predictions, IDictionary<object, object> labels, IEnumerable<double> thresholds, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_false_positive_rate_at_thresholds(IDictionary<object, object> predictions, IDictionary<object, object> labels, IEnumerable<double> thresholds, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

object streaming_false_positive_rate_at_thresholds_dyn(object predictions, object labels, object thresholds, object weights, object metrics_collections, object updates_collections, object name)

object streaming_false_positive_rate_dyn(object predictions, object labels, object weights, object metrics_collections, object updates_collections, object name)

ValueTuple<object, Tensor> streaming_false_positives(ValueTuple<PythonClassContainer, PythonClassContainer> predictions, IGraphNodeBase labels, Nullable<ValueTuple<object, object, object>> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_false_positives(IndexedSlices predictions, ValueTuple<PythonClassContainer, PythonClassContainer> labels, Nullable<ValueTuple<object, object, object>> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_false_positives(IndexedSlices predictions, IndexedSlices labels, Nullable<ValueTuple<object, object, object>> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_false_positives(IndexedSlices predictions, IGraphNodeBase labels, Nullable<ValueTuple<object, object, object>> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_false_positives(IGraphNodeBase predictions, ValueTuple<PythonClassContainer, PythonClassContainer> labels, Nullable<ValueTuple<object, object, object>> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_false_positives(IGraphNodeBase predictions, IndexedSlices labels, Nullable<ValueTuple<object, object, object>> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_false_positives(IGraphNodeBase predictions, IGraphNodeBase labels, Nullable<ValueTuple<object, object, object>> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_false_positives(ValueTuple<PythonClassContainer, PythonClassContainer> predictions, IndexedSlices labels, Nullable<ValueTuple<object, object, object>> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_false_positives(ValueTuple<PythonClassContainer, PythonClassContainer> predictions, ValueTuple<PythonClassContainer, PythonClassContainer> labels, Nullable<ValueTuple<object, object, object>> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, object> streaming_false_positives_at_thresholds(IGraphNodeBase predictions, ValueTuple<int, int, object> labels, ValueTuple<double, object, object> thresholds, Nullable<ValueTuple<object, object, object>> weights)

ValueTuple<object, object> streaming_false_positives_at_thresholds(ValueTuple<double, object, object> predictions, ValueTuple<int, int, object> labels, ValueTuple<double, object, object> thresholds, Nullable<ValueTuple<object, object, object>> weights)

ValueTuple<object, object> streaming_false_positives_at_thresholds(ValueTuple<double, object, object> predictions, IGraphNodeBase labels, ValueTuple<double, object, object> thresholds, Nullable<ValueTuple<object, object, object>> weights)

ValueTuple<object, object> streaming_false_positives_at_thresholds(IGraphNodeBase predictions, IGraphNodeBase labels, ValueTuple<double, object, object> thresholds, Nullable<ValueTuple<object, object, object>> weights)

object streaming_false_positives_at_thresholds_dyn(object predictions, object labels, object thresholds, object weights)

object streaming_false_positives_dyn(object predictions, object labels, object weights, object metrics_collections, object updates_collections, object name)

ValueTuple<object, Tensor> streaming_mean(IGraphNodeBase values, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, Tensor> streaming_mean(IGraphNodeBase values, IDictionary<object, object> weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, Tensor> streaming_mean_absolute_error(IGraphNodeBase predictions, IGraphNodeBase labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

object streaming_mean_absolute_error_dyn(object predictions, object labels, object weights, object metrics_collections, object updates_collections, object name)

object streaming_mean_cosine_distance(IGraphNodeBase predictions, IGraphNodeBase labels, int dim, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

object streaming_mean_cosine_distance_dyn(object predictions, object labels, object dim, object weights, object metrics_collections, object updates_collections, object name)

object streaming_mean_dyn(object values, object weights, object metrics_collections, object updates_collections, object name)

ValueTuple<object, Tensor> streaming_mean_iou(IGraphNodeBase predictions, IGraphNodeBase labels, int num_classes, IDictionary<object, object> weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, Tensor> streaming_mean_iou(IGraphNodeBase predictions, IGraphNodeBase labels, int num_classes, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, Tensor> streaming_mean_iou(IGraphNodeBase predictions, IDictionary<object, object> labels, int num_classes, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, Tensor> streaming_mean_iou(IDictionary<object, object> predictions, IGraphNodeBase labels, int num_classes, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, Tensor> streaming_mean_iou(IGraphNodeBase predictions, IDictionary<object, object> labels, int num_classes, IDictionary<object, object> weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, Tensor> streaming_mean_iou(IDictionary<object, object> predictions, IDictionary<object, object> labels, int num_classes, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, Tensor> streaming_mean_iou(IDictionary<object, object> predictions, IDictionary<object, object> labels, int num_classes, IDictionary<object, object> weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, Tensor> streaming_mean_iou(IDictionary<object, object> predictions, IGraphNodeBase labels, int num_classes, IDictionary<object, object> weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

object streaming_mean_iou_dyn(object predictions, object labels, object num_classes, object weights, object metrics_collections, object updates_collections, object name)

ValueTuple<object, Tensor> streaming_mean_relative_error(IGraphNodeBase predictions, IGraphNodeBase labels, IGraphNodeBase normalizer, object weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

object streaming_mean_relative_error_dyn(object predictions, object labels, object normalizer, object weights, object metrics_collections, object updates_collections, object name)

ValueTuple<object, Tensor> streaming_mean_squared_error(IGraphNodeBase predictions, IGraphNodeBase labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

object streaming_mean_squared_error_dyn(object predictions, object labels, object weights, object metrics_collections, object updates_collections, object name)

ValueTuple<object, Tensor> streaming_mean_tensor(IGraphNodeBase values, IDictionary<object, object> weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

object streaming_mean_tensor_dyn(object values, object weights, object metrics_collections, object updates_collections, object name)

ValueTuple<object, object> streaming_pearson_correlation(IGraphNodeBase predictions, IGraphNodeBase labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

object streaming_pearson_correlation_dyn(object predictions, object labels, object weights, object metrics_collections, object updates_collections, object name)

ValueTuple<object, Tensor> streaming_percentage_less(IGraphNodeBase values, int threshold, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

object streaming_percentage_less_dyn(object values, object threshold, object weights, object metrics_collections, object updates_collections, object name)

ValueTuple<object, object> streaming_precision(IGraphNodeBase predictions, IGraphNodeBase labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_precision(IGraphNodeBase predictions, IDictionary<object, object> labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_precision(IndexedSlices predictions, IDictionary<object, object> labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_precision(ValueTuple<PythonClassContainer, PythonClassContainer> predictions, IDictionary<object, object> labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_precision(IndexedSlices predictions, IGraphNodeBase labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_precision(ValueTuple<PythonClassContainer, PythonClassContainer> predictions, IGraphNodeBase labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_precision_at_thresholds(IDictionary<object, object> predictions, IGraphNodeBase labels, IEnumerable<double> thresholds, ValueTuple<PythonClassContainer, PythonClassContainer> weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_precision_at_thresholds(IDictionary<object, object> predictions, IDictionary<object, object> labels, IEnumerable<double> thresholds, ValueTuple<PythonClassContainer, PythonClassContainer> weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_precision_at_thresholds(IDictionary<object, object> predictions, IGraphNodeBase labels, IEnumerable<double> thresholds, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_precision_at_thresholds(IGraphNodeBase predictions, IDictionary<object, object> labels, IEnumerable<double> thresholds, ValueTuple<PythonClassContainer, PythonClassContainer> weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_precision_at_thresholds(IGraphNodeBase predictions, IDictionary<object, object> labels, IEnumerable<double> thresholds, IndexedSlices weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_precision_at_thresholds(IGraphNodeBase predictions, IDictionary<object, object> labels, IEnumerable<double> thresholds, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_precision_at_thresholds(IGraphNodeBase predictions, IGraphNodeBase labels, IEnumerable<double> thresholds, ValueTuple<PythonClassContainer, PythonClassContainer> weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_precision_at_thresholds(IDictionary<object, object> predictions, IDictionary<object, object> labels, IEnumerable<double> thresholds, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_precision_at_thresholds(IDictionary<object, object> predictions, IDictionary<object, object> labels, IEnumerable<double> thresholds, IndexedSlices weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_precision_at_thresholds(IGraphNodeBase predictions, IGraphNodeBase labels, IEnumerable<double> thresholds, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_precision_at_thresholds(IDictionary<object, object> predictions, IGraphNodeBase labels, IEnumerable<double> thresholds, IndexedSlices weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_precision_at_thresholds(IGraphNodeBase predictions, IGraphNodeBase labels, IEnumerable<double> thresholds, IndexedSlices weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

object streaming_precision_at_thresholds_dyn(object predictions, object labels, object thresholds, object weights, object metrics_collections, object updates_collections, object name)

object streaming_precision_dyn(object predictions, object labels, object weights, object metrics_collections, object updates_collections, object name)

ValueTuple<object, object> streaming_recall(ValueTuple<PythonClassContainer, PythonClassContainer> predictions, IGraphNodeBase labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_recall(IGraphNodeBase predictions, IDictionary<object, object> labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_recall(IndexedSlices predictions, IGraphNodeBase labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_recall(IndexedSlices predictions, IDictionary<object, object> labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_recall(ValueTuple<PythonClassContainer, PythonClassContainer> predictions, IDictionary<object, object> labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_recall(IGraphNodeBase predictions, IGraphNodeBase labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, Tensor> streaming_recall_at_k(IGraphNodeBase predictions, IGraphNodeBase labels, int k, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

object streaming_recall_at_k_dyn(object predictions, object labels, object k, object weights, object metrics_collections, object updates_collections, object name)

ValueTuple<object, object> streaming_recall_at_thresholds(IGraphNodeBase predictions, IDictionary<object, object> labels, IEnumerable<double> thresholds, IndexedSlices weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_recall_at_thresholds(IDictionary<object, object> predictions, IDictionary<object, object> labels, IEnumerable<double> thresholds, IndexedSlices weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_recall_at_thresholds(IDictionary<object, object> predictions, IDictionary<object, object> labels, IEnumerable<double> thresholds, ValueTuple<PythonClassContainer, PythonClassContainer> weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_recall_at_thresholds(IGraphNodeBase predictions, IGraphNodeBase labels, IEnumerable<double> thresholds, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_recall_at_thresholds(IGraphNodeBase predictions, IGraphNodeBase labels, IEnumerable<double> thresholds, IndexedSlices weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_recall_at_thresholds(IDictionary<object, object> predictions, IGraphNodeBase labels, IEnumerable<double> thresholds, ValueTuple<PythonClassContainer, PythonClassContainer> weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_recall_at_thresholds(IGraphNodeBase predictions, IDictionary<object, object> labels, IEnumerable<double> thresholds, ValueTuple<PythonClassContainer, PythonClassContainer> weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_recall_at_thresholds(IDictionary<object, object> predictions, IGraphNodeBase labels, IEnumerable<double> thresholds, IndexedSlices weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_recall_at_thresholds(IDictionary<object, object> predictions, IGraphNodeBase labels, IEnumerable<double> thresholds, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_recall_at_thresholds(IGraphNodeBase predictions, IDictionary<object, object> labels, IEnumerable<double> thresholds, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_recall_at_thresholds(IGraphNodeBase predictions, IGraphNodeBase labels, IEnumerable<double> thresholds, ValueTuple<PythonClassContainer, PythonClassContainer> weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

ValueTuple<object, object> streaming_recall_at_thresholds(IDictionary<object, object> predictions, IDictionary<object, object> labels, IEnumerable<double> thresholds, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

object streaming_recall_at_thresholds_dyn(object predictions, object labels, object thresholds, object weights, object metrics_collections, object updates_collections, object name)

object streaming_recall_dyn(object predictions, object labels, object weights, object metrics_collections, object updates_collections, object name)

ValueTuple<object, object> streaming_root_mean_squared_error(IGraphNodeBase predictions, IGraphNodeBase labels, IGraphNodeBase weights, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

object streaming_root_mean_squared_error_dyn(object predictions, object labels, object weights, object metrics_collections, object updates_collections, object name)

ValueTuple<object, object> streaming_sensitivity_at_specificity(IGraphNodeBase predictions, IGraphNodeBase labels, double specificity, IGraphNodeBase weights, int num_thresholds, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

object streaming_sensitivity_at_specificity_dyn(object predictions, object labels, object specificity, object weights, ImplicitContainer<T> num_thresholds, object metrics_collections, object updates_collections, object name)

ValueTuple<object, Tensor> streaming_sparse_average_precision_at_k(ValueTuple<object> predictions, ndarray labels, object k, IGraphNodeBase weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_sparse_average_precision_at_k(IGraphNodeBase predictions, ndarray labels, object k, ValueTuple<double, object> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_sparse_average_precision_at_k(IGraphNodeBase predictions, ndarray labels, object k, IGraphNodeBase weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_sparse_average_precision_at_k(ValueTuple<object> predictions, ndarray labels, object k, ValueTuple<double, object> weights, object metrics_collections, object updates_collections, string name)

object streaming_sparse_average_precision_at_k_dyn(object predictions, object labels, object k, object weights, object metrics_collections, object updates_collections, object name)

ValueTuple<object, Tensor> streaming_sparse_average_precision_at_top_k(ValueTuple<int, int> top_k_predictions, ndarray labels, IGraphNodeBase weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_sparse_average_precision_at_top_k(IGraphNodeBase top_k_predictions, ndarray labels, ValueTuple<double, object> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_sparse_average_precision_at_top_k(IGraphNodeBase top_k_predictions, ndarray labels, IGraphNodeBase weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_sparse_average_precision_at_top_k(ValueTuple<int, int> top_k_predictions, ndarray labels, ValueTuple<double, object> weights, object metrics_collections, object updates_collections, string name)

object streaming_sparse_average_precision_at_top_k_dyn(object top_k_predictions, object labels, object weights, object metrics_collections, object updates_collections, object name)

ValueTuple<object, Tensor> streaming_sparse_precision_at_k(IGraphNodeBase predictions, object labels, int k, Nullable<int> class_id, IEnumerable<object> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_sparse_precision_at_k(IGraphNodeBase predictions, ndarray labels, int k, Nullable<int> class_id, IEnumerable<object> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_sparse_precision_at_k(IGraphNodeBase predictions, ndarray labels, int k, Nullable<int> class_id, IGraphNodeBase weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_sparse_precision_at_k(IGraphNodeBase predictions, object labels, int k, Nullable<int> class_id, IGraphNodeBase weights, object metrics_collections, object updates_collections, string name)

object streaming_sparse_precision_at_k_dyn(object predictions, object labels, object k, object class_id, object weights, object metrics_collections, object updates_collections, object name)

ValueTuple<object, Tensor> streaming_sparse_precision_at_top_k(IGraphNodeBase top_k_predictions, object labels, Nullable<int> class_id, IEnumerable<object> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_sparse_precision_at_top_k(IGraphNodeBase top_k_predictions, ndarray labels, Nullable<int> class_id, IGraphNodeBase weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_sparse_precision_at_top_k(IGraphNodeBase top_k_predictions, object labels, Nullable<int> class_id, IGraphNodeBase weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_sparse_precision_at_top_k(IGraphNodeBase top_k_predictions, ndarray labels, Nullable<int> class_id, IEnumerable<object> weights, object metrics_collections, object updates_collections, string name)

object streaming_sparse_precision_at_top_k_dyn(object top_k_predictions, object labels, object class_id, object weights, object metrics_collections, object updates_collections, object name)

ValueTuple<object, Tensor> streaming_sparse_recall_at_k(IGraphNodeBase predictions, ndarray labels, int k, Nullable<int> class_id, IEnumerable<object> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_sparse_recall_at_k(IGraphNodeBase predictions, ndarray labels, int k, Nullable<int> class_id, ValueTuple<double> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_sparse_recall_at_k(IGraphNodeBase predictions, ndarray labels, int k, Nullable<int> class_id, IGraphNodeBase weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_sparse_recall_at_k(IGraphNodeBase predictions, object labels, int k, Nullable<int> class_id, IGraphNodeBase weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_sparse_recall_at_k(IGraphNodeBase predictions, object labels, int k, Nullable<int> class_id, ValueTuple<double> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_sparse_recall_at_k(IGraphNodeBase predictions, object labels, int k, Nullable<int> class_id, IEnumerable<object> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_sparse_recall_at_k(IGraphNodeBase predictions, IGraphNodeBase labels, int k, Nullable<int> class_id, IGraphNodeBase weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_sparse_recall_at_k(IGraphNodeBase predictions, IGraphNodeBase labels, int k, Nullable<int> class_id, ValueTuple<double> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_sparse_recall_at_k(IGraphNodeBase predictions, IGraphNodeBase labels, int k, Nullable<int> class_id, IEnumerable<object> weights, object metrics_collections, object updates_collections, string name)

object streaming_sparse_recall_at_k_dyn(object predictions, object labels, object k, object class_id, object weights, object metrics_collections, object updates_collections, object name)

ValueTuple<object, object> streaming_specificity_at_sensitivity(IGraphNodeBase predictions, IGraphNodeBase labels, double sensitivity, IGraphNodeBase weights, int num_thresholds, IEnumerable<string> metrics_collections, IEnumerable<string> updates_collections, string name)

object streaming_specificity_at_sensitivity_dyn(object predictions, object labels, object sensitivity, object weights, ImplicitContainer<T> num_thresholds, object metrics_collections, object updates_collections, object name)

ValueTuple<object, Tensor> streaming_true_negatives(IGraphNodeBase predictions, ValueTuple<PythonClassContainer, PythonClassContainer> labels, Nullable<ValueTuple<object>> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_true_negatives(IGraphNodeBase predictions, IndexedSlices labels, Nullable<ValueTuple<object>> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_true_negatives(IndexedSlices predictions, IGraphNodeBase labels, Nullable<ValueTuple<object>> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_true_negatives(IndexedSlices predictions, IndexedSlices labels, Nullable<ValueTuple<object>> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_true_negatives(IndexedSlices predictions, ValueTuple<PythonClassContainer, PythonClassContainer> labels, Nullable<ValueTuple<object>> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_true_negatives(ValueTuple<PythonClassContainer, PythonClassContainer> predictions, IGraphNodeBase labels, Nullable<ValueTuple<object>> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_true_negatives(ValueTuple<PythonClassContainer, PythonClassContainer> predictions, IndexedSlices labels, Nullable<ValueTuple<object>> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_true_negatives(ValueTuple<PythonClassContainer, PythonClassContainer> predictions, ValueTuple<PythonClassContainer, PythonClassContainer> labels, Nullable<ValueTuple<object>> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_true_negatives(IGraphNodeBase predictions, IGraphNodeBase labels, Nullable<ValueTuple<object>> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, object> streaming_true_negatives_at_thresholds(IGraphNodeBase predictions, ValueTuple<int, int, object> labels, ValueTuple<double, object, object> thresholds, Nullable<ValueTuple<object>> weights)

ValueTuple<object, object> streaming_true_negatives_at_thresholds(ValueTuple<double, object, object> predictions, IGraphNodeBase labels, ValueTuple<double, object, object> thresholds, Nullable<ValueTuple<object>> weights)

ValueTuple<object, object> streaming_true_negatives_at_thresholds(ValueTuple<double, object, object> predictions, ValueTuple<int, int, object> labels, ValueTuple<double, object, object> thresholds, Nullable<ValueTuple<object>> weights)

ValueTuple<object, object> streaming_true_negatives_at_thresholds(IGraphNodeBase predictions, IGraphNodeBase labels, ValueTuple<double, object, object> thresholds, Nullable<ValueTuple<object>> weights)

object streaming_true_negatives_at_thresholds_dyn(object predictions, object labels, object thresholds, object weights)

object streaming_true_negatives_dyn(object predictions, object labels, object weights, object metrics_collections, object updates_collections, object name)

ValueTuple<object, Tensor> streaming_true_positives(IGraphNodeBase predictions, ValueTuple<PythonClassContainer, PythonClassContainer> labels, Nullable<double> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_true_positives(IndexedSlices predictions, IGraphNodeBase labels, Nullable<double> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_true_positives(ValueTuple<PythonClassContainer, PythonClassContainer> predictions, ValueTuple<PythonClassContainer, PythonClassContainer> labels, Nullable<double> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_true_positives(ValueTuple<PythonClassContainer, PythonClassContainer> predictions, IndexedSlices labels, Nullable<double> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_true_positives(ValueTuple<PythonClassContainer, PythonClassContainer> predictions, IGraphNodeBase labels, Nullable<double> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_true_positives(IndexedSlices predictions, ValueTuple<PythonClassContainer, PythonClassContainer> labels, Nullable<double> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_true_positives(IndexedSlices predictions, IndexedSlices labels, Nullable<double> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_true_positives(IGraphNodeBase predictions, IGraphNodeBase labels, Nullable<double> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, Tensor> streaming_true_positives(IGraphNodeBase predictions, IndexedSlices labels, Nullable<double> weights, object metrics_collections, object updates_collections, string name)

ValueTuple<object, object> streaming_true_positives_at_thresholds(IGraphNodeBase predictions, IGraphNodeBase labels, ValueTuple<double, object, object> thresholds, Nullable<double> weights)

ValueTuple<object, object> streaming_true_positives_at_thresholds(IGraphNodeBase predictions, ValueTuple<int, int, object> labels, ValueTuple<double, object, object> thresholds, Nullable<double> weights)

ValueTuple<object, object> streaming_true_positives_at_thresholds(ValueTuple<double, object, object> predictions, ValueTuple<int, int, object> labels, ValueTuple<double, object, object> thresholds, Nullable<double> weights)

ValueTuple<object, object> streaming_true_positives_at_thresholds(ValueTuple<double, object, object> predictions, IGraphNodeBase labels, ValueTuple<double, object, object> thresholds, Nullable<double> weights)

object streaming_true_positives_at_thresholds_dyn(object predictions, object labels, object thresholds, object weights)

object streaming_true_positives_dyn(object predictions, object labels, object weights, object metrics_collections, object updates_collections, object name)

Public properties

PythonFunctionContainer accuracy_fn get;

PythonFunctionContainer aggregate_metric_map_fn get;

PythonFunctionContainer aggregate_metrics_fn get;

PythonFunctionContainer auc_using_histogram_fn get;

PythonFunctionContainer auc_with_confidence_intervals_fn get;

PythonFunctionContainer cohen_kappa_fn get;

PythonFunctionContainer confusion_matrix_fn get;

PythonFunctionContainer count_fn get;

PythonFunctionContainer f1_score_fn get;

PythonFunctionContainer precision_at_recall_fn get;

PythonFunctionContainer precision_recall_at_equal_thresholds_fn get;

PythonFunctionContainer recall_at_precision_fn get;

PythonFunctionContainer sparse_recall_at_top_k_fn get;

PythonFunctionContainer streaming_accuracy_fn get;

PythonFunctionContainer streaming_auc_fn get;

PythonFunctionContainer streaming_concat_fn get;

PythonFunctionContainer streaming_covariance_fn get;

PythonFunctionContainer streaming_curve_points_fn get;

PythonFunctionContainer streaming_dynamic_auc_fn get;

PythonFunctionContainer streaming_false_negative_rate_at_thresholds_fn get;

PythonFunctionContainer streaming_false_negative_rate_fn get;

PythonFunctionContainer streaming_false_negatives_at_thresholds_fn get;

PythonFunctionContainer streaming_false_negatives_fn get;

PythonFunctionContainer streaming_false_positive_rate_at_thresholds_fn get;

PythonFunctionContainer streaming_false_positive_rate_fn get;

PythonFunctionContainer streaming_false_positives_at_thresholds_fn get;

PythonFunctionContainer streaming_false_positives_fn get;

PythonFunctionContainer streaming_mean_absolute_error_fn get;

PythonFunctionContainer streaming_mean_cosine_distance_fn get;

PythonFunctionContainer streaming_mean_fn get;

PythonFunctionContainer streaming_mean_iou_fn get;

PythonFunctionContainer streaming_mean_relative_error_fn get;

PythonFunctionContainer streaming_mean_squared_error_fn get;

PythonFunctionContainer streaming_mean_tensor_fn get;

PythonFunctionContainer streaming_pearson_correlation_fn get;

PythonFunctionContainer streaming_percentage_less_fn get;

PythonFunctionContainer streaming_precision_at_thresholds_fn get;

PythonFunctionContainer streaming_precision_fn get;

PythonFunctionContainer streaming_recall_at_k_fn get;

PythonFunctionContainer streaming_recall_at_thresholds_fn get;

PythonFunctionContainer streaming_recall_fn get;

PythonFunctionContainer streaming_root_mean_squared_error_fn get;

PythonFunctionContainer streaming_sensitivity_at_specificity_fn get;

PythonFunctionContainer streaming_sparse_average_precision_at_k_fn get;

PythonFunctionContainer streaming_sparse_average_precision_at_top_k_fn get;

PythonFunctionContainer streaming_sparse_precision_at_k_fn get;

PythonFunctionContainer streaming_sparse_precision_at_top_k_fn get;

PythonFunctionContainer streaming_sparse_recall_at_k_fn get;

PythonFunctionContainer streaming_specificity_at_sensitivity_fn get;

PythonFunctionContainer streaming_true_negatives_at_thresholds_fn get;

PythonFunctionContainer streaming_true_negatives_fn get;

PythonFunctionContainer streaming_true_positives_at_thresholds_fn get;

PythonFunctionContainer streaming_true_positives_fn get;