LostTech.TensorFlow : API Documentation

Type KerasTPUModel

Namespace tensorflow.contrib.tpu.python.tpu.keras_support

Parent Model

Interfaces IKerasTPUModel

Methods

Properties

Public instance methods

void compile(object optimizer, object loss, IEnumerable<object> metrics, IDictionary<string, double> loss_weights, IDictionary<string, object> sample_weight_mode, object weighted_metrics, object target_tensors, IDictionary<string, object> kwargs)

void compile(object optimizer, object loss, CategoricalAccuracy metrics, IDictionary<string, double> loss_weights, string sample_weight_mode, object weighted_metrics, object target_tensors, IDictionary<string, object> kwargs)

void compile(object optimizer, PythonFunctionContainer loss, IDictionary<string, string> metrics, IEnumerable<double> loss_weights, IDictionary<string, object> sample_weight_mode, object weighted_metrics, object target_tensors, IDictionary<string, object> kwargs)

void compile(object optimizer, PythonFunctionContainer loss, IDictionary<string, string> metrics, IEnumerable<double> loss_weights, IEnumerable<object> sample_weight_mode, object weighted_metrics, object target_tensors, IDictionary<string, object> kwargs)

void compile(object optimizer, PythonFunctionContainer loss, IDictionary<string, string> metrics, IEnumerable<double> loss_weights, string sample_weight_mode, object weighted_metrics, object target_tensors, IDictionary<string, object> kwargs)

void compile(object optimizer, PythonFunctionContainer loss, IEnumerable<object> metrics, IDictionary<string, double> loss_weights, IDictionary<string, object> sample_weight_mode, object weighted_metrics, object target_tensors, IDictionary<string, object> kwargs)

void compile(object optimizer, PythonFunctionContainer loss, IEnumerable<object> metrics, IDictionary<string, double> loss_weights, IEnumerable<object> sample_weight_mode, object weighted_metrics, object target_tensors, IDictionary<string, object> kwargs)

void compile(object optimizer, PythonFunctionContainer loss, IEnumerable<object> metrics, IDictionary<string, double> loss_weights, string sample_weight_mode, object weighted_metrics, object target_tensors, IDictionary<string, object> kwargs)

void compile(object optimizer, PythonFunctionContainer loss, IDictionary<string, string> metrics, IDictionary<string, double> loss_weights, string sample_weight_mode, object weighted_metrics, object target_tensors, IDictionary<string, object> kwargs)

void compile(object optimizer, PythonFunctionContainer loss, IEnumerable<object> metrics, IEnumerable<double> loss_weights, IDictionary<string, object> sample_weight_mode, object weighted_metrics, object target_tensors, IDictionary<string, object> kwargs)

void compile(object optimizer, PythonFunctionContainer loss, IEnumerable<object> metrics, IEnumerable<double> loss_weights, IEnumerable<object> sample_weight_mode, object weighted_metrics, object target_tensors, IDictionary<string, object> kwargs)

void compile(object optimizer, PythonFunctionContainer loss, IEnumerable<object> metrics, IEnumerable<double> loss_weights, string sample_weight_mode, object weighted_metrics, object target_tensors, IDictionary<string, object> kwargs)

void compile(object optimizer, PythonFunctionContainer loss, CategoricalAccuracy metrics, IDictionary<string, double> loss_weights, IDictionary<string, object> sample_weight_mode, object weighted_metrics, object target_tensors, IDictionary<string, object> kwargs)

void compile(object optimizer, object loss, CategoricalAccuracy metrics, IEnumerable<double> loss_weights, string sample_weight_mode, object weighted_metrics, object target_tensors, IDictionary<string, object> kwargs)

void compile(object optimizer, PythonFunctionContainer loss, CategoricalAccuracy metrics, IDictionary<string, double> loss_weights, IEnumerable<object> sample_weight_mode, object weighted_metrics, object target_tensors, IDictionary<string, object> kwargs)

void compile(object optimizer, PythonFunctionContainer loss, CategoricalAccuracy metrics, IDictionary<string, double> loss_weights, string sample_weight_mode, object weighted_metrics, object target_tensors, IDictionary<string, object> kwargs)

void compile(object optimizer, PythonFunctionContainer loss, CategoricalAccuracy metrics, IEnumerable<double> loss_weights, IDictionary<string, object> sample_weight_mode, object weighted_metrics, object target_tensors, IDictionary<string, object> kwargs)

void compile(object optimizer, object loss, CategoricalAccuracy metrics, IEnumerable<double> loss_weights, IDictionary<string, object> sample_weight_mode, object weighted_metrics, object target_tensors, IDictionary<string, object> kwargs)

void compile(object optimizer, PythonFunctionContainer loss, IDictionary<string, string> metrics, IDictionary<string, double> loss_weights, IEnumerable<object> sample_weight_mode, object weighted_metrics, object target_tensors, IDictionary<string, object> kwargs)

void compile(object optimizer, object loss, CategoricalAccuracy metrics, IEnumerable<double> loss_weights, IEnumerable<object> sample_weight_mode, object weighted_metrics, object target_tensors, IDictionary<string, object> kwargs)

void compile(object optimizer, object loss, IEnumerable<object> metrics, IEnumerable<double> loss_weights, string sample_weight_mode, object weighted_metrics, object target_tensors, IDictionary<string, object> kwargs)

void compile(object optimizer, PythonFunctionContainer loss, IDictionary<string, string> metrics, IDictionary<string, double> loss_weights, IDictionary<string, object> sample_weight_mode, object weighted_metrics, object target_tensors, IDictionary<string, object> kwargs)

void compile(object optimizer, object loss, IEnumerable<object> metrics, IEnumerable<double> loss_weights, IDictionary<string, object> sample_weight_mode, object weighted_metrics, object target_tensors, IDictionary<string, object> kwargs)

void compile(object optimizer, object loss, IEnumerable<object> metrics, IDictionary<string, double> loss_weights, string sample_weight_mode, object weighted_metrics, object target_tensors, IDictionary<string, object> kwargs)

void compile(object optimizer, object loss, IEnumerable<object> metrics, IEnumerable<double> loss_weights, IEnumerable<object> sample_weight_mode, object weighted_metrics, object target_tensors, IDictionary<string, object> kwargs)

void compile(object optimizer, PythonFunctionContainer loss, CategoricalAccuracy metrics, IEnumerable<double> loss_weights, string sample_weight_mode, object weighted_metrics, object target_tensors, IDictionary<string, object> kwargs)

void compile(object optimizer, object loss, IDictionary<string, string> metrics, IDictionary<string, double> loss_weights, IDictionary<string, object> sample_weight_mode, object weighted_metrics, object target_tensors, IDictionary<string, object> kwargs)

void compile(object optimizer, object loss, CategoricalAccuracy metrics, IDictionary<string, double> loss_weights, IDictionary<string, object> sample_weight_mode, object weighted_metrics, object target_tensors, IDictionary<string, object> kwargs)

void compile(object optimizer, object loss, IDictionary<string, string> metrics, IDictionary<string, double> loss_weights, IEnumerable<object> sample_weight_mode, object weighted_metrics, object target_tensors, IDictionary<string, object> kwargs)

void compile(object optimizer, object loss, IDictionary<string, string> metrics, IDictionary<string, double> loss_weights, string sample_weight_mode, object weighted_metrics, object target_tensors, IDictionary<string, object> kwargs)

void compile(object optimizer, PythonFunctionContainer loss, CategoricalAccuracy metrics, IEnumerable<double> loss_weights, IEnumerable<object> sample_weight_mode, object weighted_metrics, object target_tensors, IDictionary<string, object> kwargs)

void compile(object optimizer, object loss, IDictionary<string, string> metrics, IEnumerable<double> loss_weights, IDictionary<string, object> sample_weight_mode, object weighted_metrics, object target_tensors, IDictionary<string, object> kwargs)

void compile(object optimizer, object loss, IDictionary<string, string> metrics, IEnumerable<double> loss_weights, string sample_weight_mode, object weighted_metrics, object target_tensors, IDictionary<string, object> kwargs)

void compile(object optimizer, object loss, IEnumerable<object> metrics, IDictionary<string, double> loss_weights, IEnumerable<object> sample_weight_mode, object weighted_metrics, object target_tensors, IDictionary<string, object> kwargs)

void compile(object optimizer, object loss, CategoricalAccuracy metrics, IDictionary<string, double> loss_weights, IEnumerable<object> sample_weight_mode, object weighted_metrics, object target_tensors, IDictionary<string, object> kwargs)

void compile(object optimizer, object loss, IDictionary<string, string> metrics, IEnumerable<double> loss_weights, IEnumerable<object> sample_weight_mode, object weighted_metrics, object target_tensors, IDictionary<string, object> kwargs)

object compile_dyn(object optimizer, object loss, object metrics, object loss_weights, object sample_weight_mode, object weighted_metrics, object target_tensors, IDictionary<string, object> kwargs)

object evaluate(object x, ndarray y, Nullable<int> batch_size, bool verbose, IEnumerable<object> sample_weight, Nullable<int> steps)

object evaluate(object x, HDF5Matrix y, Nullable<int> batch_size, int verbose, ndarray sample_weight, Nullable<int> steps)

object evaluate(object x, ndarray y, Nullable<int> batch_size, int verbose, ndarray sample_weight, Nullable<int> steps)

object evaluate(object x, IEnumerable<ndarray> y, Nullable<int> batch_size, int verbose, ndarray sample_weight, Nullable<int> steps)

object evaluate(object x, ndarray y, Nullable<int> batch_size, int verbose, IDictionary<string, object> sample_weight, Nullable<int> steps)

object evaluate(object x, ndarray y, Nullable<int> batch_size, int verbose, IEnumerable<object> sample_weight, Nullable<int> steps)

object evaluate(object x, IDictionary<string, object> y, Nullable<int> batch_size, bool verbose, ndarray sample_weight, Nullable<int> steps)

object evaluate(object x, HDF5Matrix y, Nullable<int> batch_size, bool verbose, ndarray sample_weight, Nullable<int> steps)

object evaluate(object x, IEnumerable<ndarray> y, Nullable<int> batch_size, bool verbose, IEnumerable<object> sample_weight, Nullable<int> steps)

object evaluate(object x, IDictionary<string, object> y, Nullable<int> batch_size, bool verbose, IDictionary<string, object> sample_weight, Nullable<int> steps)

object evaluate(object x, IEnumerable<ndarray> y, Nullable<int> batch_size, bool verbose, ndarray sample_weight, Nullable<int> steps)

object evaluate(object x, HDF5Matrix y, Nullable<int> batch_size, bool verbose, IEnumerable<object> sample_weight, Nullable<int> steps)

object evaluate(object x, IDictionary<string, object> y, Nullable<int> batch_size, bool verbose, IEnumerable<object> sample_weight, Nullable<int> steps)

object evaluate(object x, IDictionary<string, object> y, Nullable<int> batch_size, int verbose, ndarray sample_weight, Nullable<int> steps)

object evaluate(object x, IDictionary<string, object> y, Nullable<int> batch_size, int verbose, IDictionary<string, object> sample_weight, Nullable<int> steps)

object evaluate(object x, ndarray y, Nullable<int> batch_size, bool verbose, IDictionary<string, object> sample_weight, Nullable<int> steps)

object evaluate(object x, HDF5Matrix y, Nullable<int> batch_size, bool verbose, IDictionary<string, object> sample_weight, Nullable<int> steps)

object evaluate(object x, IEnumerable<ndarray> y, Nullable<int> batch_size, bool verbose, IDictionary<string, object> sample_weight, Nullable<int> steps)

object evaluate(object x, IDictionary<string, object> y, Nullable<int> batch_size, int verbose, IEnumerable<object> sample_weight, Nullable<int> steps)

object evaluate(object x, IGraphNodeBase y, Nullable<int> batch_size, int verbose, IEnumerable<object> sample_weight, Nullable<int> steps)

object evaluate(object x, int y, Nullable<int> batch_size, bool verbose, IDictionary<string, object> sample_weight, Nullable<int> steps)

object evaluate(object x, HDF5Matrix y, Nullable<int> batch_size, int verbose, IDictionary<string, object> sample_weight, Nullable<int> steps)

object evaluate(object x, IGraphNodeBase y, Nullable<int> batch_size, int verbose, IDictionary<string, object> sample_weight, Nullable<int> steps)

object evaluate(object x, IGraphNodeBase y, Nullable<int> batch_size, int verbose, ndarray sample_weight, Nullable<int> steps)

object evaluate(object x, IGraphNodeBase y, Nullable<int> batch_size, bool verbose, IEnumerable<object> sample_weight, Nullable<int> steps)

object evaluate(object x, IGraphNodeBase y, Nullable<int> batch_size, bool verbose, IDictionary<string, object> sample_weight, Nullable<int> steps)

object evaluate(object x, ndarray y, Nullable<int> batch_size, bool verbose, ndarray sample_weight, Nullable<int> steps)

object evaluate(object x, IEnumerable<ndarray> y, Nullable<int> batch_size, int verbose, IEnumerable<object> sample_weight, Nullable<int> steps)

object evaluate(object x, int y, Nullable<int> batch_size, int verbose, IEnumerable<object> sample_weight, Nullable<int> steps)

object evaluate(object x, IGraphNodeBase y, Nullable<int> batch_size, bool verbose, ndarray sample_weight, Nullable<int> steps)

object evaluate(object x, int y, Nullable<int> batch_size, int verbose, ndarray sample_weight, Nullable<int> steps)

object evaluate(object x, int y, Nullable<int> batch_size, bool verbose, IEnumerable<object> sample_weight, Nullable<int> steps)

object evaluate(object x, int y, Nullable<int> batch_size, bool verbose, ndarray sample_weight, Nullable<int> steps)

object evaluate(object x, HDF5Matrix y, Nullable<int> batch_size, int verbose, IEnumerable<object> sample_weight, Nullable<int> steps)

object evaluate(object x, int y, Nullable<int> batch_size, int verbose, IDictionary<string, object> sample_weight, Nullable<int> steps)

object evaluate(object x, IEnumerable<ndarray> y, Nullable<int> batch_size, int verbose, IDictionary<string, object> sample_weight, Nullable<int> steps)

object evaluate_dyn(object x, object y, object batch_size, ImplicitContainer<T> verbose, object sample_weight, object steps)

object fit(object x, object y, Nullable<int> batch_size, int epochs, bool verbose, IEnumerable<Callback> callbacks, double validation_split, Dataset validation_data, bool shuffle, IDictionary<string, string> class_weight, IEnumerable<object> sample_weight, int initial_epoch, Nullable<int> steps_per_epoch, Nullable<int> validation_steps, IDictionary<string, object> kwargs)

object fit(object x, object y, Nullable<int> batch_size, int epochs, bool verbose, IEnumerable<Callback> callbacks, double validation_split, Dataset validation_data, string shuffle, IDictionary<string, string> class_weight, IEnumerable<object> sample_weight, int initial_epoch, Nullable<int> steps_per_epoch, Nullable<int> validation_steps, IDictionary<string, object> kwargs)

object fit(object x, object y, Nullable<int> batch_size, int epochs, bool verbose, IEnumerable<Callback> callbacks, double validation_split, Dataset validation_data, bool shuffle, IDictionary<string, string> class_weight, IDictionary<string, string> sample_weight, int initial_epoch, Nullable<int> steps_per_epoch, Nullable<int> validation_steps, IDictionary<string, object> kwargs)

object fit(object x, object y, Nullable<int> batch_size, int epochs, bool verbose, IEnumerable<Callback> callbacks, double validation_split, Dataset validation_data, string shuffle, IDictionary<string, string> class_weight, ndarray sample_weight, int initial_epoch, Nullable<int> steps_per_epoch, Nullable<int> validation_steps, IDictionary<string, object> kwargs)

object fit(object x, object y, Nullable<int> batch_size, int epochs, bool verbose, IEnumerable<Callback> callbacks, double validation_split, Dataset validation_data, bool shuffle, IDictionary<string, string> class_weight, ndarray sample_weight, int initial_epoch, Nullable<int> steps_per_epoch, Nullable<int> validation_steps, IDictionary<string, object> kwargs)

object fit(object x, object y, Nullable<int> batch_size, int epochs, bool verbose, IEnumerable<Callback> callbacks, double validation_split, Dataset validation_data, string shuffle, IDictionary<string, string> class_weight, IDictionary<string, string> sample_weight, int initial_epoch, Nullable<int> steps_per_epoch, Nullable<int> validation_steps, IDictionary<string, object> kwargs)

object fit(object x, object y, Nullable<int> batch_size, int epochs, int verbose, IEnumerable<Callback> callbacks, double validation_split, ValueTuple<object, object> validation_data, bool shuffle, IDictionary<string, string> class_weight, ndarray sample_weight, int initial_epoch, Nullable<int> steps_per_epoch, Nullable<int> validation_steps, IDictionary<string, object> kwargs)

object fit(object x, object y, Nullable<int> batch_size, int epochs, bool verbose, IEnumerable<Callback> callbacks, double validation_split, Dataset validation_data, string shuffle, IDictionary<string, string> class_weight, IDictionary<string, string> sample_weight, int initial_epoch, Nullable<int> steps_per_epoch, Nullable<int> validation_steps, IDictionary<string, object> kwargs)

object fit(object x, object y, Nullable<int> batch_size, int epochs, bool verbose, IEnumerable<Callback> callbacks, double validation_split, Dataset validation_data, string shuffle, IDictionary<string, string> class_weight, IEnumerable<object> sample_weight, int initial_epoch, Nullable<int> steps_per_epoch, Nullable<int> validation_steps, IDictionary<string, object> kwargs)

object fit(object x, object y, Nullable<int> batch_size, int epochs, bool verbose, IEnumerable<Callback> callbacks, double validation_split, Dataset validation_data, bool shuffle, IDictionary<string, string> class_weight, IEnumerable<object> sample_weight, int initial_epoch, Nullable<int> steps_per_epoch, Nullable<int> validation_steps, IDictionary<string, object> kwargs)

object fit(object x, object y, Nullable<int> batch_size, int epochs, bool verbose, IEnumerable<Callback> callbacks, double validation_split, Dataset validation_data, string shuffle, IDictionary<string, string> class_weight, ndarray sample_weight, int initial_epoch, Nullable<int> steps_per_epoch, Nullable<int> validation_steps, IDictionary<string, object> kwargs)

object fit(object x, object y, Nullable<int> batch_size, int epochs, int verbose, IEnumerable<Callback> callbacks, double validation_split, ValueTuple<object, object> validation_data, bool shuffle, IDictionary<string, string> class_weight, IDictionary<string, string> sample_weight, int initial_epoch, Nullable<int> steps_per_epoch, Nullable<int> validation_steps, IDictionary<string, object> kwargs)

object fit(object x, object y, Nullable<int> batch_size, int epochs, int verbose, IEnumerable<Callback> callbacks, double validation_split, ValueTuple<object, object> validation_data, bool shuffle, IDictionary<string, string> class_weight, IEnumerable<object> sample_weight, int initial_epoch, Nullable<int> steps_per_epoch, Nullable<int> validation_steps, IDictionary<string, object> kwargs)

object fit(object x, object y, Nullable<int> batch_size, int epochs, int verbose, IEnumerable<Callback> callbacks, double validation_split, ValueTuple<object, object> validation_data, string shuffle, IDictionary<string, string> class_weight, ndarray sample_weight, int initial_epoch, Nullable<int> steps_per_epoch, Nullable<int> validation_steps, IDictionary<string, object> kwargs)

object fit(object x, object y, Nullable<int> batch_size, int epochs, int verbose, IEnumerable<Callback> callbacks, double validation_split, ValueTuple<object, object> validation_data, string shuffle, IDictionary<string, string> class_weight, IDictionary<string, string> sample_weight, int initial_epoch, Nullable<int> steps_per_epoch, Nullable<int> validation_steps, IDictionary<string, object> kwargs)

object fit(object x, object y, Nullable<int> batch_size, int epochs, int verbose, IEnumerable<Callback> callbacks, double validation_split, ValueTuple<object, object> validation_data, string shuffle, IDictionary<string, string> class_weight, IEnumerable<object> sample_weight, int initial_epoch, Nullable<int> steps_per_epoch, Nullable<int> validation_steps, IDictionary<string, object> kwargs)

object fit(object x, object y, Nullable<int> batch_size, int epochs, int verbose, IEnumerable<Callback> callbacks, double validation_split, Dataset validation_data, bool shuffle, IDictionary<string, string> class_weight, ndarray sample_weight, int initial_epoch, Nullable<int> steps_per_epoch, Nullable<int> validation_steps, IDictionary<string, object> kwargs)

object fit(object x, object y, Nullable<int> batch_size, int epochs, int verbose, IEnumerable<Callback> callbacks, double validation_split, Dataset validation_data, bool shuffle, IDictionary<string, string> class_weight, IDictionary<string, string> sample_weight, int initial_epoch, Nullable<int> steps_per_epoch, Nullable<int> validation_steps, IDictionary<string, object> kwargs)

object fit(object x, object y, Nullable<int> batch_size, int epochs, int verbose, IEnumerable<Callback> callbacks, double validation_split, Dataset validation_data, bool shuffle, IDictionary<string, string> class_weight, IEnumerable<object> sample_weight, int initial_epoch, Nullable<int> steps_per_epoch, Nullable<int> validation_steps, IDictionary<string, object> kwargs)

object fit(object x, object y, Nullable<int> batch_size, int epochs, int verbose, IEnumerable<Callback> callbacks, double validation_split, Dataset validation_data, string shuffle, IDictionary<string, string> class_weight, IDictionary<string, string> sample_weight, int initial_epoch, Nullable<int> steps_per_epoch, Nullable<int> validation_steps, IDictionary<string, object> kwargs)

object fit(object x, object y, Nullable<int> batch_size, int epochs, int verbose, IEnumerable<Callback> callbacks, double validation_split, Dataset validation_data, string shuffle, IDictionary<string, string> class_weight, IEnumerable<object> sample_weight, int initial_epoch, Nullable<int> steps_per_epoch, Nullable<int> validation_steps, IDictionary<string, object> kwargs)

object fit(object x, object y, Nullable<int> batch_size, int epochs, int verbose, IEnumerable<Callback> callbacks, double validation_split, Dataset validation_data, bool shuffle, IDictionary<string, string> class_weight, ndarray sample_weight, int initial_epoch, Nullable<int> steps_per_epoch, Nullable<int> validation_steps, IDictionary<string, object> kwargs)

object fit(object x, object y, Nullable<int> batch_size, int epochs, int verbose, IEnumerable<Callback> callbacks, double validation_split, Dataset validation_data, bool shuffle, IDictionary<string, string> class_weight, IDictionary<string, string> sample_weight, int initial_epoch, Nullable<int> steps_per_epoch, Nullable<int> validation_steps, IDictionary<string, object> kwargs)

object fit(object x, object y, Nullable<int> batch_size, int epochs, int verbose, IEnumerable<Callback> callbacks, double validation_split, Dataset validation_data, bool shuffle, IDictionary<string, string> class_weight, IEnumerable<object> sample_weight, int initial_epoch, Nullable<int> steps_per_epoch, Nullable<int> validation_steps, IDictionary<string, object> kwargs)

object fit(object x, object y, Nullable<int> batch_size, int epochs, int verbose, IEnumerable<Callback> callbacks, double validation_split, Dataset validation_data, string shuffle, IDictionary<string, string> class_weight, ndarray sample_weight, int initial_epoch, Nullable<int> steps_per_epoch, Nullable<int> validation_steps, IDictionary<string, object> kwargs)

object fit(object x, object y, Nullable<int> batch_size, int epochs, int verbose, IEnumerable<Callback> callbacks, double validation_split, Dataset validation_data, string shuffle, IDictionary<string, string> class_weight, ndarray sample_weight, int initial_epoch, Nullable<int> steps_per_epoch, Nullable<int> validation_steps, IDictionary<string, object> kwargs)

object fit(object x, object y, Nullable<int> batch_size, int epochs, bool verbose, IEnumerable<Callback> callbacks, double validation_split, ValueTuple<object, object> validation_data, bool shuffle, IDictionary<string, string> class_weight, IDictionary<string, string> sample_weight, int initial_epoch, Nullable<int> steps_per_epoch, Nullable<int> validation_steps, IDictionary<string, object> kwargs)

object fit(object x, object y, Nullable<int> batch_size, int epochs, bool verbose, IEnumerable<Callback> callbacks, double validation_split, ValueTuple<object, object> validation_data, bool shuffle, IDictionary<string, string> class_weight, ndarray sample_weight, int initial_epoch, Nullable<int> steps_per_epoch, Nullable<int> validation_steps, IDictionary<string, object> kwargs)

object fit(object x, object y, Nullable<int> batch_size, int epochs, bool verbose, IEnumerable<Callback> callbacks, double validation_split, Dataset validation_data, bool shuffle, IDictionary<string, string> class_weight, IDictionary<string, string> sample_weight, int initial_epoch, Nullable<int> steps_per_epoch, Nullable<int> validation_steps, IDictionary<string, object> kwargs)

object fit(object x, object y, Nullable<int> batch_size, int epochs, bool verbose, IEnumerable<Callback> callbacks, double validation_split, Dataset validation_data, bool shuffle, IDictionary<string, string> class_weight, ndarray sample_weight, int initial_epoch, Nullable<int> steps_per_epoch, Nullable<int> validation_steps, IDictionary<string, object> kwargs)

object fit(object x, object y, Nullable<int> batch_size, int epochs, bool verbose, IEnumerable<Callback> callbacks, double validation_split, ValueTuple<object, object> validation_data, string shuffle, IDictionary<string, string> class_weight, IDictionary<string, string> sample_weight, int initial_epoch, Nullable<int> steps_per_epoch, Nullable<int> validation_steps, IDictionary<string, object> kwargs)

object fit(object x, object y, Nullable<int> batch_size, int epochs, bool verbose, IEnumerable<Callback> callbacks, double validation_split, ValueTuple<object, object> validation_data, string shuffle, IDictionary<string, string> class_weight, ndarray sample_weight, int initial_epoch, Nullable<int> steps_per_epoch, Nullable<int> validation_steps, IDictionary<string, object> kwargs)

object fit(object x, object y, Nullable<int> batch_size, int epochs, bool verbose, IEnumerable<Callback> callbacks, double validation_split, ValueTuple<object, object> validation_data, string shuffle, IDictionary<string, string> class_weight, IEnumerable<object> sample_weight, int initial_epoch, Nullable<int> steps_per_epoch, Nullable<int> validation_steps, IDictionary<string, object> kwargs)

object fit(object x, object y, Nullable<int> batch_size, int epochs, int verbose, IEnumerable<Callback> callbacks, double validation_split, Dataset validation_data, string shuffle, IDictionary<string, string> class_weight, IEnumerable<object> sample_weight, int initial_epoch, Nullable<int> steps_per_epoch, Nullable<int> validation_steps, IDictionary<string, object> kwargs)

object fit(object x, object y, Nullable<int> batch_size, int epochs, bool verbose, IEnumerable<Callback> callbacks, double validation_split, ValueTuple<object, object> validation_data, bool shuffle, IDictionary<string, string> class_weight, IEnumerable<object> sample_weight, int initial_epoch, Nullable<int> steps_per_epoch, Nullable<int> validation_steps, IDictionary<string, object> kwargs)

object fit(object x, object y, Nullable<int> batch_size, int epochs, int verbose, IEnumerable<Callback> callbacks, double validation_split, Dataset validation_data, string shuffle, IDictionary<string, string> class_weight, IDictionary<string, string> sample_weight, int initial_epoch, Nullable<int> steps_per_epoch, Nullable<int> validation_steps, IDictionary<string, object> kwargs)

object fit_dyn(object x, object y, object batch_size, ImplicitContainer<T> epochs, ImplicitContainer<T> verbose, object callbacks, ImplicitContainer<T> validation_split, object validation_data, ImplicitContainer<T> shuffle, object class_weight, object sample_weight, ImplicitContainer<T> initial_epoch, object steps_per_epoch, object validation_steps, IDictionary<string, object> kwargs)

object predict(object x, Nullable<int> batch_size, bool verbose, Nullable<int> steps, int max_queue_size, int workers, IEnumerable<Callback> use_multiprocessing)

object predict(object x, Nullable<int> batch_size, bool verbose, Nullable<int> steps, IEnumerable<Callback> max_queue_size, int workers, IEnumerable<Callback> use_multiprocessing)

object predict(object x, Nullable<int> batch_size, bool verbose, Nullable<int> steps, IEnumerable<Callback> max_queue_size, int workers, int use_multiprocessing)

object predict(object x, Nullable<int> batch_size, bool verbose, Nullable<int> steps, int max_queue_size, IEnumerable<Callback> workers, IEnumerable<Callback> use_multiprocessing)

object predict(object x, Nullable<int> batch_size, bool verbose, Nullable<int> steps, int max_queue_size, IEnumerable<Callback> workers, int use_multiprocessing)

object predict(object x, Nullable<int> batch_size, bool verbose, Nullable<int> steps, IEnumerable<Callback> max_queue_size, IEnumerable<Callback> workers, int use_multiprocessing)

object predict(object x, Nullable<int> batch_size, bool verbose, Nullable<int> steps, int max_queue_size, int workers, int use_multiprocessing)

object predict(object x, Nullable<int> batch_size, int verbose, Nullable<int> steps, int max_queue_size, int workers, IEnumerable<Callback> use_multiprocessing)

object predict(object x, Nullable<int> batch_size, int verbose, Nullable<int> steps, int max_queue_size, int workers, int use_multiprocessing)

object predict(object x, Nullable<int> batch_size, int verbose, Nullable<int> steps, IEnumerable<Callback> max_queue_size, IEnumerable<Callback> workers, int use_multiprocessing)

object predict(object x, Nullable<int> batch_size, int verbose, Nullable<int> steps, IEnumerable<Callback> max_queue_size, int workers, IEnumerable<Callback> use_multiprocessing)

object predict(object x, Nullable<int> batch_size, int verbose, Nullable<int> steps, IEnumerable<Callback> max_queue_size, int workers, int use_multiprocessing)

object predict(object x, Nullable<int> batch_size, int verbose, Nullable<int> steps, int max_queue_size, IEnumerable<Callback> workers, IEnumerable<Callback> use_multiprocessing)

object predict(object x, Nullable<int> batch_size, int verbose, Nullable<int> steps, int max_queue_size, IEnumerable<Callback> workers, int use_multiprocessing)

object predict(object x, Nullable<int> batch_size, bool verbose, Nullable<int> steps, IEnumerable<Callback> max_queue_size, IEnumerable<Callback> workers, IEnumerable<Callback> use_multiprocessing)

object predict(object x, Nullable<int> batch_size, int verbose, Nullable<int> steps, IEnumerable<Callback> max_queue_size, IEnumerable<Callback> workers, IEnumerable<Callback> use_multiprocessing)

object predict(IEnumerable<IGraphNodeBase> x, Nullable<int> batch_size, int verbose, Nullable<int> steps, int max_queue_size, int workers, int use_multiprocessing)

object predict(IEnumerable<IGraphNodeBase> x, Nullable<int> batch_size, bool verbose, Nullable<int> steps, int max_queue_size, IEnumerable<Callback> workers, IEnumerable<Callback> use_multiprocessing)

object predict(IEnumerable<IGraphNodeBase> x, Nullable<int> batch_size, int verbose, Nullable<int> steps, int max_queue_size, IEnumerable<Callback> workers, int use_multiprocessing)

object predict(IEnumerable<IGraphNodeBase> x, Nullable<int> batch_size, bool verbose, Nullable<int> steps, IEnumerable<Callback> max_queue_size, IEnumerable<Callback> workers, IEnumerable<Callback> use_multiprocessing)

object predict(IEnumerable<IGraphNodeBase> x, Nullable<int> batch_size, bool verbose, Nullable<int> steps, IEnumerable<Callback> max_queue_size, IEnumerable<Callback> workers, int use_multiprocessing)

object predict(IEnumerable<IGraphNodeBase> x, Nullable<int> batch_size, int verbose, Nullable<int> steps, int max_queue_size, int workers, IEnumerable<Callback> use_multiprocessing)

object predict(IEnumerable<IGraphNodeBase> x, Nullable<int> batch_size, bool verbose, Nullable<int> steps, IEnumerable<Callback> max_queue_size, int workers, int use_multiprocessing)

object predict(IEnumerable<IGraphNodeBase> x, Nullable<int> batch_size, bool verbose, Nullable<int> steps, int max_queue_size, IEnumerable<Callback> workers, int use_multiprocessing)

object predict(IEnumerable<IGraphNodeBase> x, Nullable<int> batch_size, bool verbose, Nullable<int> steps, int max_queue_size, int workers, IEnumerable<Callback> use_multiprocessing)

object predict(IEnumerable<IGraphNodeBase> x, Nullable<int> batch_size, bool verbose, Nullable<int> steps, IEnumerable<Callback> max_queue_size, int workers, IEnumerable<Callback> use_multiprocessing)

object predict(IEnumerable<IGraphNodeBase> x, Nullable<int> batch_size, int verbose, Nullable<int> steps, IEnumerable<Callback> max_queue_size, IEnumerable<Callback> workers, IEnumerable<Callback> use_multiprocessing)

object predict(IEnumerable<IGraphNodeBase> x, Nullable<int> batch_size, int verbose, Nullable<int> steps, IEnumerable<Callback> max_queue_size, IEnumerable<Callback> workers, int use_multiprocessing)

object predict(IEnumerable<IGraphNodeBase> x, Nullable<int> batch_size, int verbose, Nullable<int> steps, IEnumerable<Callback> max_queue_size, int workers, IEnumerable<Callback> use_multiprocessing)

object predict(IEnumerable<IGraphNodeBase> x, Nullable<int> batch_size, int verbose, Nullable<int> steps, IEnumerable<Callback> max_queue_size, int workers, int use_multiprocessing)

object predict(IEnumerable<IGraphNodeBase> x, Nullable<int> batch_size, int verbose, Nullable<int> steps, int max_queue_size, IEnumerable<Callback> workers, IEnumerable<Callback> use_multiprocessing)

object predict(IEnumerable<IGraphNodeBase> x, Nullable<int> batch_size, bool verbose, Nullable<int> steps, int max_queue_size, int workers, int use_multiprocessing)

object predict_dyn(object x, object batch_size, ImplicitContainer<T> verbose, object steps, ImplicitContainer<T> max_queue_size, ImplicitContainer<T> workers, ImplicitContainer<T> use_multiprocessing)

object save(IDictionary<string, object> kw, Byte[] args)

object save_dyn(IDictionary<string, object> kw, Object[] args)

object save_dyn(Object[] args)

object save_weights(IDictionary<string, object> kw, Byte[] args)

object save_weights(Byte[] args)

object save_weights_dyn(IDictionary<string, object> kw, Object[] args)

object save_weights_dyn(Object[] args)

object sync_to_cpu()

object sync_to_cpu_dyn()

Public properties

PythonFunctionContainer activity_regularizer get; set;

object activity_regularizer_dyn get; set;

bool built get; set;

object cpu_optimizer get;

object cpu_optimizer_dyn get;

object dtype get;

object dtype_dyn get;

bool dynamic get;

object dynamic_dyn get;

IList<Node> inbound_nodes get;

object inbound_nodes_dyn get;

IList<object> input get;

object input_dyn get;

object input_mask get;

object input_mask_dyn get;

IList<object> input_names get; set;

IList<object> input_shape get;

object input_shape_dyn get;

object input_spec get; set;

object input_spec_dyn get;

object inputs get; set;

IList<Layer> layers get;

object layers_dyn get;

object loss get; set;

IList<object> loss_functions get; set;

IList<double> loss_weights get; set;

IList<object> losses get;

object losses_dyn get;

IList<object> metrics get; set;

object metrics_dyn get; set;

IList<object> metrics_names get;

object metrics_names_dyn get;

object name get;

object name_dyn get;

object name_scope get;

object name_scope_dyn get;

IList<object> non_trainable_variables get;

object non_trainable_variables_dyn get;

IList<object> non_trainable_weights get;

object non_trainable_weights_dyn get;

object optimizer get; set;

object optimizer_dyn get; set;

IList<object> outbound_nodes get;

object outbound_nodes_dyn get;

IList<object> output get;

object output_dyn get;

object output_mask get;

object output_mask_dyn get;

IList<string> output_names get; set;

object output_shape get;

object output_shape_dyn get;

object outputs get; set;

object predict_function get; set;

object PythonObject get;

Nullable<bool> run_eagerly get; set;

object run_eagerly_dyn get; set;

string sample_weight_mode get; set;

IList<Tensor> sample_weights get;

object sample_weights_dyn get;

IList<object> state_updates get;

object state_updates_dyn get;

bool stateful get;

object stateful_dyn get;

ValueTuple<object> submodules get;

object submodules_dyn get;

bool supports_masking get; set;

object test_function get; set;

Nullable<double> total_loss get; set;

object train_function get; set;

bool trainable get; set;

object trainable_dyn get; set;

object trainable_variables get;

object trainable_variables_dyn get;

IList<object> trainable_weights get;

object trainable_weights_dyn get;

IList<object> updates get;

object updates_dyn get;

object variables get;

object variables_dyn get;

IList<object> weights get;

object weights_dyn get;