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

In dfalbel/keras: R Interface to 'Keras'

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 = 0,
  steps = NULL,
  callbacks = 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 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()

dfalbel/keras documentation built on Nov. 27, 2019, 8:16 p.m.