predict_generator {keras} | R Documentation |
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