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

Description Usage Arguments Details See Also

View source: R/model.R

Description

Generates probability or class probability predictions for the input samples.

Usage

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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


rstudio/keras documentation built on Dec. 3, 2018, 10:15 p.m.