Revision 2e441c167637ec79e4f1d1611c6db8eca7205119 authored by dependabot[bot] on 22 November 2022, 17:46:37 UTC, committed by GitHub on 22 November 2022, 17:46:37 UTC
Bumps [tensorflow](https://github.com/tensorflow/tensorflow) from 2.9.1 to 2.9.3. - [Release notes](https://github.com/tensorflow/tensorflow/releases) - [Changelog](https://github.com/tensorflow/tensorflow/blob/master/RELEASE.md) - [Commits](https://github.com/tensorflow/tensorflow/compare/v2.9.1...v2.9.3) --- updated-dependencies: - dependency-name: tensorflow dependency-type: direct:production ... Signed-off-by: dependabot[bot] <support@github.com>
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ROADMAP.md
# Katib 2021 Roadmap
## New Features
### AutoML
- Support Population Based Training [#1382](https://github.com/kubeflow/katib/issues/1382)
- Support [ASHA](https://arxiv.org/pdf/1810.05934.pdf)
- Support Auto Model Compression [#460](https://github.com/kubeflow/katib/issues/460)
- Support Auto Feature Engineering [#475](https://github.com/kubeflow/katib/issues/475)
- Various CRDs for HP, NAS and other AutoML techniques.
### UI
- Migrate to the new Katib UI [Project 1](https://github.com/kubeflow/katib/projects/1)
- Hyperparameter importances visualization with fANOVA algorithm
## Enhancements
- Finish AWS CI/CD migration
- Support various parameter distribution [#1207](https://github.com/kubeflow/katib/issues/1207)
- Finish validation for Algorithms [#1126](https://github.com/kubeflow/katib/issues/1126)
- Refactor Hyperband [#1389](https://github.com/kubeflow/katib/issues/1389)
- Support multiple CRD version with conversion webhook
- MLMD integration with Katib Experiments
# History
# 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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