Summary
Overview:
Machine Learning (ML) is a complex process, which involves several steps, choices, and decisions. The objective of Automated Machine Learning (AutoML) is to make this process more manageable, by automating its most complex and lengthy parts. AutoML for Spotfire® Data Science - Team Studio is designed for the business analyst and the data scientist alike, and provides automated generation of ML workflows as well as opportunities for manual intervention and fine-tuning.
Please use the tag #AutoML when asking questions about this extension
Details
Extended information of AutoML functionality can be found on this separate community article.
Release 1.2
Published: September 2020
This release includes in addition to previous release:
- Support for text variables as inputs.
- Redesigned visuals and UI for Model Explainability.
- Improved support for editing generated workflows.
Release 1.1
Published: October 2019
This release includes:
- Support for date/time feature engineering.
- New Scoring workflow.
- New model explainability.
- Spotfire DXP for model explainability.
Release 1.01
Published: June 2019
- Bug Fix
Release 1.0
Published: June 2019
- Initial Release