LostTech.TensorFlow : API Documentation

Type training_v2_utils

Namespace tensorflow.python.keras.engine.training_v2_utils

Methods

Properties

Public static methods

object predict_on_batch(object model, IEnumerable<object> x)

object predict_on_batch(object model, IDictionary<string, object> x)

object predict_on_batch(object model, ndarray x)

object predict_on_batch(Model model, IEnumerable<object> x)

object predict_on_batch(Model model, IDictionary<string, object> x)

object predict_on_batch(Model model, ndarray x)

object predict_on_batch_dyn(object model, object x)

IDictionary<string, object> test_on_batch(Model model, IGraphNodeBase x, IGraphNodeBase y, ndarray sample_weight, bool reset_metrics)

IDictionary<string, object> test_on_batch(Model model, IGraphNodeBase x, IEnumerable<object> y, IDictionary<string, object> sample_weight, bool reset_metrics)

IDictionary<string, object> test_on_batch(Model model, IGraphNodeBase x, IEnumerable<object> y, ndarray sample_weight, bool reset_metrics)

IDictionary<string, object> test_on_batch(Model model, IGraphNodeBase x, ndarray y, IDictionary<string, object> sample_weight, bool reset_metrics)

IDictionary<string, object> test_on_batch(Model model, IDictionary<string, object> x, IEnumerable<object> y, ndarray sample_weight, bool reset_metrics)

IDictionary<string, object> test_on_batch(Model model, IEnumerable<IGraphNodeBase> x, IGraphNodeBase y, IDictionary<string, object> sample_weight, bool reset_metrics)

IDictionary<string, object> test_on_batch(Model model, IEnumerable<IGraphNodeBase> x, IGraphNodeBase y, ndarray sample_weight, bool reset_metrics)

IDictionary<string, object> test_on_batch(Model model, IEnumerable<IGraphNodeBase> x, IEnumerable<object> y, IDictionary<string, object> sample_weight, bool reset_metrics)

IDictionary<string, object> test_on_batch(Model model, IEnumerable<IGraphNodeBase> x, IEnumerable<object> y, ndarray sample_weight, bool reset_metrics)

IDictionary<string, object> test_on_batch(Model model, IEnumerable<IGraphNodeBase> x, ndarray y, IDictionary<string, object> sample_weight, bool reset_metrics)

IDictionary<string, object> test_on_batch(Model model, IEnumerable<IGraphNodeBase> x, ndarray y, ndarray sample_weight, bool reset_metrics)

IDictionary<string, object> test_on_batch(Model model, IDictionary<string, object> x, IGraphNodeBase y, IDictionary<string, object> sample_weight, bool reset_metrics)

IDictionary<string, object> test_on_batch(Model model, IDictionary<string, object> x, IGraphNodeBase y, ndarray sample_weight, bool reset_metrics)

IDictionary<string, object> test_on_batch(Model model, IDictionary<string, object> x, IEnumerable<object> y, IDictionary<string, object> sample_weight, bool reset_metrics)

IDictionary<string, object> test_on_batch(Model model, IGraphNodeBase x, IGraphNodeBase y, IDictionary<string, object> sample_weight, bool reset_metrics)

IDictionary<string, object> test_on_batch(Model model, IGraphNodeBase x, ndarray y, ndarray sample_weight, bool reset_metrics)

IDictionary<string, object> test_on_batch(Model model, IDictionary<string, object> x, ndarray y, IDictionary<string, object> sample_weight, bool reset_metrics)

IDictionary<string, object> test_on_batch(Model model, IDictionary<string, object> x, ndarray y, ndarray sample_weight, bool reset_metrics)

IDictionary<string, object> test_on_batch(Model model, ndarray x, IGraphNodeBase y, IDictionary<string, object> sample_weight, bool reset_metrics)

IDictionary<string, object> test_on_batch(Model model, ndarray x, IGraphNodeBase y, ndarray sample_weight, bool reset_metrics)

IDictionary<string, object> test_on_batch(Model model, ndarray x, IEnumerable<object> y, IDictionary<string, object> sample_weight, bool reset_metrics)

IDictionary<string, object> test_on_batch(Model model, ndarray x, IEnumerable<object> y, ndarray sample_weight, bool reset_metrics)

IDictionary<string, object> test_on_batch(Model model, ndarray x, ndarray y, IDictionary<string, object> sample_weight, bool reset_metrics)

IDictionary<string, object> test_on_batch(Model model, ndarray x, ndarray y, ndarray sample_weight, bool reset_metrics)

object test_on_batch_dyn(object model, object x, object y, object sample_weight, ImplicitContainer<T> reset_metrics)

IDictionary<string, object> train_on_batch(object model, ndarray x, object y, ndarray sample_weight, IDictionary<int, double> class_weight, bool reset_metrics)

IDictionary<string, object> train_on_batch(object model, IDictionary<string, object> x, object y, IDictionary<string, object> sample_weight, IDictionary<int, double> class_weight, bool reset_metrics)

IDictionary<string, object> train_on_batch(Model model, ndarray x, object y, ndarray sample_weight, IDictionary<int, double> class_weight, bool reset_metrics)

IDictionary<string, object> train_on_batch(object model, IEnumerable<IGraphNodeBase> x, object y, ndarray sample_weight, IDictionary<int, double> class_weight, bool reset_metrics)

IDictionary<string, object> train_on_batch(object model, IEnumerable<IGraphNodeBase> x, object y, IDictionary<string, object> sample_weight, IDictionary<int, double> class_weight, bool reset_metrics)

IDictionary<string, object> train_on_batch(Model model, ndarray x, object y, IDictionary<string, object> sample_weight, IDictionary<int, double> class_weight, bool reset_metrics)

IDictionary<string, object> train_on_batch(object model, object x, object y, ndarray sample_weight, IDictionary<int, double> class_weight, bool reset_metrics)

IDictionary<string, object> train_on_batch(Model model, IDictionary<string, object> x, object y, IDictionary<string, object> sample_weight, IDictionary<int, double> class_weight, bool reset_metrics)

IDictionary<string, object> train_on_batch(object model, object x, object y, IDictionary<string, object> sample_weight, IDictionary<int, double> class_weight, bool reset_metrics)

IDictionary<string, object> train_on_batch(object model, ndarray x, object y, IDictionary<string, object> sample_weight, IDictionary<int, double> class_weight, bool reset_metrics)

IDictionary<string, object> train_on_batch(Model model, IEnumerable<IGraphNodeBase> x, object y, ndarray sample_weight, IDictionary<int, double> class_weight, bool reset_metrics)

IDictionary<string, object> train_on_batch(Model model, IEnumerable<IGraphNodeBase> x, object y, IDictionary<string, object> sample_weight, IDictionary<int, double> class_weight, bool reset_metrics)

IDictionary<string, object> train_on_batch(Model model, object x, object y, ndarray sample_weight, IDictionary<int, double> class_weight, bool reset_metrics)

IDictionary<string, object> train_on_batch(Model model, object x, object y, IDictionary<string, object> sample_weight, IDictionary<int, double> class_weight, bool reset_metrics)

IDictionary<string, object> train_on_batch(Model model, IDictionary<string, object> x, object y, ndarray sample_weight, IDictionary<int, double> class_weight, bool reset_metrics)

IDictionary<string, object> train_on_batch(object model, IDictionary<string, object> x, object y, ndarray sample_weight, IDictionary<int, double> class_weight, bool reset_metrics)

object train_on_batch_dyn(object model, object x, object y, object sample_weight, object class_weight, ImplicitContainer<T> reset_metrics)

Public properties

PythonFunctionContainer predict_on_batch_fn get;

PythonFunctionContainer test_on_batch_fn get;

PythonFunctionContainer train_on_batch_fn get;