predict_proba: Generates probability or class probability predictions for...

In dfalbel/keras: R Interface to 'Keras'

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)
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()

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