fix: Shiyuan's suggestion to release note
@@ -64,9 +64,10 @@ Version 0.19.6
**New Features**
-- The custom searcher API allows users to implement their own logic to coordinate across multiple
- training jobs, enabling easy implementation of custom meta algorithms like hyperparameter tuning
- and ensembling methods. See :ref:`topic-guides_hp-tuning-det_custom` for more information.
+- Custom Searcher: users can now define their own logic to coordinate across multiple trials within
+ an experiment. Examples of use cases are custom hyperparameter searching algorithms, ensembling,
+ active learning, neural architecture search, reinforcement learning. See
+ :ref:`topic-guides_hp-tuning-det_custom` for more information.
- Cluster: The enterprise edition of `HPE Machine Learning Development Environment
<https://www.hpe.com/us/en/solutions/artificial-intelligence/machine-learning-development-environment.html>`_
