automl | Kili AutoML is a lightweight library
kandi X-RAY | automl Summary
kandi X-RAY | automl Summary
automl is a Python library. automl has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
Kili AutoML is a lightweight library to create ML models in a data-centric AI way:. Once you are satisfied with the performance, in one line of code, serve the model and monitor the performance keeping a human in the loop with Kili. Only works on Linux and Mac OS X.
Kili AutoML is a lightweight library to create ML models in a data-centric AI way:. Once you are satisfied with the performance, in one line of code, serve the model and monitor the performance keeping a human in the loop with Kili. Only works on Linux and Mac OS X.
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Support
automl has a low active ecosystem.
It has 13 star(s) with 6 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
There are 0 open issues and 2 have been closed. On average issues are closed in 0 days. There are 2 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of automl is current.
Quality
automl has no bugs reported.
Security
automl has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
automl does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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automl releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of automl
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of automl
automl Key Features
No Key Features are available at this moment for automl.
automl Examples and Code Snippets
No Code Snippets are available at this moment for automl.
Community Discussions
No Community Discussions are available at this moment for automl.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install automl
You can try automl on a simple image classification project with this notebook. Check the Demos section for more examples.
Creating a new conda or virtualenv before cloning is recommended because we install a lot of packages:.
Creating a new conda or virtualenv before cloning is recommended because we install a lot of packages:.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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