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 = 0, steps = NULL, ...)
Keras model
Input data (vector, matrix, or array)
Integer
Verbosity mode, 0 or 1.
Total number of steps (batches of samples) before declaring the
evaluation round finished. The default NULL
is equal to the number of
samples in your dataset divided by the batch size.
Unused
vector, matrix, or array of predictions
Other model functions: compile
,
evaluate.keras.engine.training.Model
,
evaluate_generator
,
fit_generator
, fit
,
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