Evidence tier Source Confirmed · 9 captures on record
What the publisher says
As described on Microsoft Marketplace.
LightAutoML is an open-source Python library for automated machine learning (AutoML). Built on top of scikit-learn and PyTorch, it enables users to quickly create predictive models for tabular data with minimal manual intervention. LightAutoML automates tasks such as feature preprocessing, model selection, and hyperparameter tuning, making it suitable for both research and production applications.
Features of LightAutoML:
Show the rest of the publisher’s description (14 more lines)
- Efficiently handles tabular datasets for classification and regression tasks.
- Automates feature preprocessing, model selection, and hyperparameter tuning.
- Supports both CPU and GPU computation for large-scale datasets.
- Modular and flexible design allows integration of custom models and pipelines.
- Lightweight, easy to install via pip, and integrates with other Python projects.
- Open-source, actively maintained, and widely used in AutoML workflows.
To check the installed LightAutoML version on your system, run:
$ sudo su
$ cd /opt
$ cd lightautoml
$ docker start lightautoml
$ docker exec -it lightautoml bash
$ pip show lightautoml
Disclaimer: LightAutoML is released under the Apache 2.0 License and maintained by the open-source community. Users are responsible for correct usage in their specific applications. The developers are not responsible for any consequences arising from its use. Always refer to the official LightAutoML documentation and GitHub repository for the most accurate and up-to-date information.
Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Sources
Publisher resources
1 linkLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
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