https://github.com/sassoftware/sas-viya-dmml-pipelines
Code examples and supporting materials for data mining and machine learning techniques on the SAS Viya environment.
https://github.com/sassoftware/sas-viya-dmml-pipelines
Last synced: 7 months ago
JSON representation
Code examples and supporting materials for data mining and machine learning techniques on the SAS Viya environment.
- Host: GitHub
- URL: https://github.com/sassoftware/sas-viya-dmml-pipelines
- Owner: sassoftware
- License: apache-2.0
- Created: 2018-02-28T15:54:26.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2024-05-03T15:12:05.000Z (over 1 year ago)
- Last Synced: 2025-02-13T13:24:46.321Z (9 months ago)
- Language: SAS
- Size: 23.7 MB
- Stars: 30
- Watchers: 20
- Forks: 27
- Open Issues: 4
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Support: SUPPORT.md
Awesome Lists containing this project
README
## Summary
SAS Viya provides a comprehensive, collaborative visual interface for accomplishing all steps related to the analytical life cycle on a massively parallel processing infrastructure. **Machine learning pipelines in Model Studio** let you explore and compare multiple modeling approaches rapidly. You can quickly and easily find the optimal parameter settings for diverse machine learning algorithms – including decision trees, random forests, gradient boosting, neural networks, support vector machines and factorization machines – simply by selecting the option you want. Complex local search optimization routines work hard in the background to efficiently and effectively tune your models.
### Additional resources
- [SAS Viya Overview](https://www.sas.com/en_us/software/viya.html)
- [SAS Viya: Machine Learning Documentation](http://support.sas.com/documentation/prod-p/vdmml/index.html)
**Contributors:** Wendy Czika, Christian Medins, Radhikha Myneni, Ray Wright and Brett Wujek