predict_generator.Rd
The generator should return the same kind of data as accepted by
predict_on_batch()
.
predict_generator(object, generator, steps, max_queue_size = 10, workers = 1, verbose = 0)
object  Keras model object 

generator  Generator yielding batches of input samples. 
steps  Total number of steps (batches of samples) to yield from

max_queue_size  Maximum size for the generator queue. If unspecified,

workers  Maximum number of threads to use for parallel processing. Note that
parallel processing will only be performed for native Keras generators (e.g.

verbose  verbosity mode, 0 or 1. 
Numpy array(s) of predictions.
ValueError: In case the generator yields data in an invalid format.
Other model functions: compile.keras.engine.training.Model
,
evaluate.keras.engine.training.Model
,
evaluate_generator
,
fit.keras.engine.training.Model
,
fit_generator
, get_config
,
get_layer
,
keras_model_sequential
,
keras_model
, multi_gpu_model
,
pop_layer
,
predict.keras.engine.training.Model
,
predict_on_batch
,
predict_proba
,
summary.keras.engine.training.Model
,
train_on_batch