Public instance methods
object compile(object optimizer, object loss, object metrics, object loss_weights, object sample_weight_mode, object weighted_metrics, object target_tensors, object distribute, IDictionary<string, object> kwargs)
object evaluate(object x, object y, object batch_size, object verbose, object sample_weight, object steps, object callbacks, object max_queue_size, object workers, object use_multiprocessing)
object evaluate_generator(object generator, object steps, object callbacks, object max_queue_size, object workers, object use_multiprocessing, object verbose)
object fit(object x, object y, object batch_size, object epochs, object verbose, object callbacks, object validation_split, object validation_data, object shuffle, object class_weight, object sample_weight, object initial_epoch, object steps_per_epoch, object validation_steps, object validation_freq, object max_queue_size, object workers, object use_multiprocessing, IDictionary<string, object> kwargs)
object fit_generator(object generator, object steps_per_epoch, object epochs, object verbose, object callbacks, object validation_data, object validation_steps, object validation_freq, object class_weight, object max_queue_size, object workers, object use_multiprocessing, object shuffle, object initial_epoch)
object load_weights(object filepath, object by_name)
object predict(object x, object batch_size, object verbose, object steps, object callbacks, object max_queue_size, object workers, object use_multiprocessing)
object predict_generator(object generator, object steps, object callbacks, object max_queue_size, object workers, object use_multiprocessing, object verbose)
object predict_on_batch(object x)
object test_on_batch(object x, object y, object sample_weight, object reset_metrics)
object train_on_batch(object x, object y, object sample_weight, object class_weight, object reset_metrics)
Public properties
object metrics_names get;
object run_eagerly get; set;
object sample_weights get;