Skip to content

Latest commit

 

History

History
8 lines (6 loc) · 375 Bytes

File metadata and controls

8 lines (6 loc) · 375 Bytes

Evaluators

An evaluator is used to evaluate the performance of the model during training or at test time. To create a new evaluator you should inherit from the general TaskEvaluator class defined in task_evaluator.py and overwrite all the abstract methods. Afterwards you should add it to the factory method in evaluator_factory.py and to the package in __init__.py.