predict_on_batch: Returns predictions for a single batch of samples.

In keras: R Interface to 'Keras'

Returns predictions for a single batch of samples.

Description

Returns predictions for a single batch of samples.

Usage

predict_on_batch(object, x)

Arguments

object	Keras model object
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)⁠.

Value

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(), keras_model_sequential(), multi_gpu_model(), pop_layer(), predict.keras.engine.training.Model(), predict_generator(), predict_proba(), summary.keras.engine.training.Model(), train_on_batch()

keras documentation built on May 29, 2024, 3:20 a.m.