Restore a saved model from disk.

See also save_model().


>>> from ampligraph.utils import restore_model
>>> import numpy as np
>>> example_name = 'helloworld.pkl'
>>> restored_model = restore_model(model_name_path = example_name)
>>> y_pred_after = restored_model.predict(np.array([['f', 'y', 'e'], ['b', 'y', 'd']]))
>>> print(y_pred_after)
[-0.29721245, 0.07865551]
Parameters:model_name_path (string) – The name of saved model to be restored. If not specified, the library will try to find the default model in the working directory.
Returns:model – the neural knowledge graph embedding model restored from disk.
Return type:EmbeddingModel