Generate predictions from a Keras model
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, ...)
Arguments
object | Keras model |
x | Input data (vector, matrix, or array) |
batch_size | Integer. If unspecified, it will default to 32. |
verbose | Verbosity mode, 0 or 1. |
steps | Total number of steps (batches of samples) before declaring the
evaluation round finished. Ignored with the default value of |
... | Unused |
Value
vector, matrix, or array of predictions
See also
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