Revision 9a7d43c4af5799743671e484e56e2ab956724666 authored by Andrey Velichkevich on 27 July 2020, 15:32:18 UTC, committed by GitHub on 27 July 2020, 15:32:18 UTC
* Resume experiment from the PV * Add comment * Remove old api comments * Change reason for Running suggestion * Fix few comments * Rename volume name like suggestion deployment * Add corev1 to const
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ROADMAP.md
# Katib 2020 Roadmap
## New Features
### Hyperparameter Tuning
- Support Early Stopping [#692](https://github.com/kubeflow/katib/issues/692)
### Neural Architecture Search
- Support Advanced NAS Algorithms like DARTs, ProxylessNAS [#461](https://github.com/kubeflow/katib/issues/461)
### Other Features
- Support Auto Model Compression [#460](https://github.com/kubeflow/katib/issues/460)
- Support Auto Feature Engineering [#475](https://github.com/kubeflow/katib/issues/475)
## Enhancements
### Common
- Delete Suggestion deployment after Experiment is finished [#1061](https://github.com/kubeflow/katib/issues/1061)
- Save Suggestion state after deployment is deleted [#1062](https://github.com/kubeflow/katib/issues/1062)
- Reconsider the design of Trial Template [#906](https://github.com/kubeflow/katib/issues/906)
- Design an extensible model for integrating with custom resources.
- Add validation for algorithms (a.k.a suggestions) [#1126](https://github.com/kubeflow/katib/issues/1126)
- Katib UI fixes and enhancements
- Investigate Kubeflow Metadata integration
- Investigate the alignment with concept and implementation of "experiments" and "jobs/runs" in KFP [#4955](https://github.com/kubeflow/kubeflow/issues/4955)
### Neural Architecture Search
- Refactor structure for NAS algorithms [#1125](https://github.com/kubeflow/katib/issues/1125)
- Refactor the design for NAS model constructor [#1127](https://github.com/kubeflow/katib/issues/1127)
- ENAS enhancements such as micro mode, RNN support
![swh spinner](/static/img/swh-spinner.gif)
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