test_on_batch: Test the model on a single batch of samples.

In keras3: R Interface to 'Keras'

Test the model on a single batch of samples.

Description

Test the model on a single batch of samples.

Usage

test_on_batch(object, x, y = NULL, sample_weight = NULL, ...)

Arguments

object	Keras model object
x	Input data. Must be array-like.
y	Target data. Must be array-like.
sample_weight	Optional array of the same length as x, containing weights to apply to the model's loss for each sample. In the case of temporal data, you can pass a 2D array with shape ⁠(samples, sequence_length)⁠, to apply a different weight to every timestep of every sample.
...	for forward/backward compatability

Value

A scalar loss value (when no metrics), or a named list of loss and metric values (if there are metrics).

See Also

• https://keras.io/api/models/model_training_apis#testonbatch-method

Other model training:
compile.keras.src.models.model.Model()
evaluate.keras.src.models.model.Model()
predict.keras.src.models.model.Model()
predict_on_batch()
train_on_batch()

keras3 documentation built on June 8, 2025, 1:36 p.m.