keras (version 2.8.0)

serialize_model: 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.

See Also

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