# smdebug-rulesconfig

> SMDebug RulesConfig

- **URL**: https://www.freshcrate.ai/projects/smdebug-rulesconfig
- **Author**: AWS DeepLearning Team
- **Category**: Developer Tools
- **Latest version**: `1.0.1` (2026-04-21)
- **License**: Apache License Version 2.0
- **Source**: https://github.com/awslabs/sagemaker-debugger-rulesconfig
- **Language**: Python
- **GitHub**: 8 stars, 7 forks
- **Registry**: pypi (`smdebug-rulesconfig`)
- **Tags**: `pypi`

## Description

This library, intended to be used with [Amazon SageMaker Python SDK](https://github.com/aws/sagemaker-python-sdk), helps you specify builtin rules without worrying about any details or tweak the configuration of builtin rules. These builtin rules are available in Amazon SageMaker.Amazon SageMaker Debugger Rulesconfig package can be used with Amazon SageMaker Debugger or asstand-alone rule config retriever. In addition to retrieving builtin rules, configuration for common collections can be retrieved as well.

## Recent releases

| Version | Date | Urgency | Changes |
| --- | --- | --- | --- |
| `1.0.1` | 2026-04-21 | Low | Imported from PyPI (1.0.1) |
| `v1.0.0` | 2020-12-08 | Low | This new version introduces the ability to specify profiler rules in the sagemaker SDK. |
| `v0.1.5` | 2020-08-18 | Low | The release contains support for Feature Importance Rule |
| `v0.1.4` | 2020-06-01 | Low | The release contains support for StalledTrainingRule |
| `v0.1.3` | 2019-12-03 | Low | Includes:  - Rule config for builtin rules - Collection config for common collections |
| `v0.1.2` | 2019-12-03 | Low | Includes:  - Rule config for builtin rules - Collection config for common collections |

## Citation

- HTML: https://www.freshcrate.ai/projects/smdebug-rulesconfig
- Markdown: https://www.freshcrate.ai/projects/smdebug-rulesconfig.md
- Dependencies JSON: https://www.freshcrate.ai/api/projects/smdebug-rulesconfig/deps

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