Generates output predictions for the input samples, processing the samples in a batched way.
# S3 method for keras.engine.training.Model
predict(
object,
x,
batch_size = NULL,
verbose = "auto",
steps = NULL,
callbacks = NULL,
...
)vector, matrix, or array of predictions
Keras model
Input data (vector, matrix, or array). You can also
pass a tfdataset or a generator returning a list with (inputs, targets) or
(inputs, targets, sample_weights).
Integer. If unspecified, it will default to 32.
Verbosity mode, 0, 1, 2, or "auto". "auto" defaults to 1
for for most cases and defaults to verbose=2 when used with
ParameterServerStrategy or with interactive logging disabled.
Total number of steps (batches of samples) before declaring the
evaluation round finished. Ignored with the default value of NULL.
List of callbacks to apply during prediction.
Unused
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_generator(),
predict_on_batch(),
predict_proba(),
summary.keras.engine.training.Model(),
train_on_batch()