keras (version 2.7.0)

predict.keras.engine.training.Model: Generate predictions from a Keras model

Description

Generates output predictions for the input samples, processing the samples in a batched way.

Usage

# S3 method for keras.engine.training.Model
predict(
  object,
  x,
  batch_size = NULL,
  verbose = 0,
  steps = NULL,
  callbacks = NULL,
  ...
)

Arguments

object

Keras model

x

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).

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 NULL.

callbacks

List of callbacks to apply during prediction.

...

Unused

Value

vector, matrix, or array of predictions

See Also

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()