Serializer
You can save trained models to disk and restore them later with save and load functions.
- replay.model_handler.save(model, path)
Save fitted model to disk as a folder
- Parameters
model (
BaseRecommender) – Trained recommenderpath (
str) – destination where model files will be stored
- Returns
- replay.model_handler.load(path)
Load saved model from disk
- Parameters
path (
str) – path to model folder- Returns
Restored trained model