keras (version 2.4.0)

predict_proba: Generates probability or class probability predictions for the input samples.

Description

Generates probability or class probability predictions for the input samples.

Usage

predict_proba(object, x, batch_size = NULL, verbose = 0, steps = NULL)

predict_classes(object, x, batch_size = NULL, verbose = 0, steps = NULL)

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).

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. The default NULL is equal to the number of samples in your dataset divided by the batch size.

Details

The input samples are processed batch by batch.

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.keras.engine.training.Model(), predict_generator(), predict_on_batch(), summary.keras.engine.training.Model(), train_on_batch()