Training the model incrementally
Use Incremental training to update saved models with the latest data increment while preserving the knowledge gained from the previous trainings.
Periodical model retraining is recommended in order to enhance the model accuracy with the latest data patterns. The incremental method lets you do this without the need to retrain the model from scratch on the entire dataset. This approach keeps the model up-to-date without the heavy resource and time costs.
Before you apply incremental training, ensure these prerequisites are met:
- The initial model is trained using a custom algorithm.
- The trained model is saved and accessible in the Models Library. Refer to the previous chapters for instructions on saving and managing trained models.
- The latest data increment is imported as a separate dataset.