Serialize a model to an R object
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.
serialize_model(model, include_optimizer = TRUE) unserialize_model(model, custom_objects = NULL, compile = TRUE)
model |
Keras model or R "raw" object containing serialized Keras model. |
include_optimizer |
If |
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. |
serialize_model() returns an R "raw" object containing an hdf5
version of the Keras model. unserialize_model() returns a Keras model.
The save_model_hdf5() function enables saving Keras models to
external hdf5 files.
Other model persistence:
get_weights(),
model_to_json(),
model_to_yaml(),
save_model_hdf5(),
save_model_tf(),
save_model_weights_hdf5()
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