e709576eb39ac3ddb1f59d291178b7364bdf068e,autokeras/preprocessors/common.py,CategoricalToNumerical,from_config,#Any#Any#,146

Before Change

        }
        obj = cls(**init_config)
        obj.layer = preprocessors.deserialize(config["layer"])
        obj.layer.encoding_layers = preprocessors.deserialize(config["encoding_layers"])
        return obj

After Change

        obj = cls(**init_config)
        obj.layer = preprocessors.deserialize(config["layer"])
        for encoding_layer, vocab in zip(
            obj.layer.encoding_layers, config["encoding_vocab"]
        ):
            if encoding_layer is not None:
                encoding_layer.set_vocabulary(vocab)
        return obj

Instances