Generates probability or class probability predictions for the input samples.
predict_proba(object, x, batch_size = NULL, verbose = 0, steps = NULL)predict_classes(object, x, batch_size = NULL, verbose = 0, steps = NULL)
Keras model object
Input data (vector, matrix, or array)
Integer. If unspecified, it will default to 32.
Verbosity mode, 0 or 1.
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.
The input samples are processed batch by batch.
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()