serialize_model: Serialize a model to an R object

In keras: R Interface to 'Keras'

Serialize a model to an R object

Description

Model objects are external references to Keras objects which cannot be saved and restored across R sessions. The serialize_model() and unserialize_model() functions provide facilities to convert Keras models to R objects for persistence within R data files.

Usage

serialize_model(model, include_optimizer = TRUE)

unserialize_model(model, custom_objects = NULL, compile = TRUE)

Arguments

model	Keras model or R "raw" object containing serialized Keras model.
include_optimizer	If TRUE, save optimizer's state.
custom_objects	Mapping class names (or function names) of custom (non-Keras) objects to class/functions (for example, custom metrics or custom loss functions). This mapping can be done with the dict() function of reticulate.
compile	Whether to compile the model after loading.

Value

serialize_model() returns an R "raw" object containing an hdf5 version of the Keras model. unserialize_model() returns a Keras model.

Note

The save_model_hdf5() function enables saving Keras models to external hdf5 files.

See Also

Other model persistence: get_weights(), model_to_json(), model_to_yaml(), save_model_hdf5(), save_model_tf(), save_model_weights_hdf5()

keras documentation built on Aug. 16, 2023, 1:07 a.m.