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
| Arguments | Description |
|---|---|
| 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()