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

View source: R/model.R

predict.keras.engine.training.ModelR Documentation

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 class 'keras.engine.training.Model'
predict(
  object,
  x,
  batch_size = NULL,
  verbose = "auto",
  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, 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.

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()


keras documentation built on Dec. 28, 2022, 2:20 a.m.