deserialize#
- bayesflow.utils.serialization.deserialize(config: dict, custom_objects=None, safe_mode=True, **kwargs)[source]#
Deserialize an object serialized with
serialize().Wrapper function around keras.saving.deserialize_keras_object to enable deserialization of classes.
- Parameters:
- configdict
Python dict describing the object.
- custom_objectsdict, optional
Python dict containing a mapping between custom object names and the corresponding classes or functions. Forwarded to keras.saving.deserialize_keras_object.
- safe_modebool, optional
Boolean, whether to disallow unsafe lambda deserialization. When safe_mode=False, loading an object has the potential to trigger arbitrary code execution. This argument is only applicable to the Keras v3 model format. Defaults to True. Forwarded to keras.saving.deserialize_keras_object.
- Returns:
- obj
The object described by the config dictionary.
- Raises:
- ValueError
If a type in the config can not be deserialized.
See also