The generator should return the same kind of data as accepted by
test_on_batch().
evaluate_generator(object, generator, steps, max_queue_size = 10)Model object to evaluate
Generator yielding lists (inputs, targets) or (inputs, targets, sample_weights)
Total number of steps (batches of samples) to yield from
generator before stopping.
maximum size for the generator queue
Named list of model test loss (or losses for models with multiple outputs) and model metrics.
Other model functions: compile,
evaluate.keras.engine.training.Model,
fit_generator, fit,
get_config, get_layer,
keras_model_sequential,
keras_model, multi_gpu_model,
pop_layer,
predict.keras.engine.training.Model,
predict_generator,
predict_on_batch,
predict_proba,
summary.keras.engine.training.Model,
train_on_batch