predict_proba {keras} | R Documentation |
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)
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 |
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