test_on_batch {keras3}

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()