cleanlab | standard package for machine learning | Machine Learning library

by cgnorthcutt Python Version: v1.0 License: AGPL-3.0

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | cleanlab Summary

cleanlab is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch applications. cleanlab has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has medium support. You can install using 'pip install cleanlab' or download it from GitHub, PyPI.

The standard package for machine learning with noisy labels and finding mislabeled data. Works with most datasets and models.

Support

Quality

Security

License

Reuse

Support

cleanlab has a medium active ecosystem.

It has 2008 star(s) with 196 fork(s). There are 50 watchers for this library.

It had no major release in the last 12 months.

There are 18 open issues and 43 have been closed. On average issues are closed in 22 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of cleanlab is v1.0

Quality

cleanlab has 0 bugs and 0 code smells.

Security

cleanlab has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

cleanlab code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

cleanlab is licensed under the AGPL-3.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

Reuse

cleanlab releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

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cleanlab Key Features

No Key Features are available at this moment for cleanlab.

cleanlab Examples and Code Snippets

No Code Snippets are available at this moment for cleanlab.

Community Discussions

Trending Discussions on cleanlab

spark rdd: grouping and filtering

QUESTION

spark rdd: grouping and filtering

Asked 2019-Feb-22 at 16:32

I have an Rdd "labResults" of objects:

...

ANSWER

Answered 2019-Feb-22 at 16:32

Here's my approach for the first part. The stuff about Edge and those other classes I cannot help as I don't know where they come from (is that from here?)

Source https://stackoverflow.com/questions/54818721

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install cleanlab

You can install using 'pip install cleanlab' or download it from GitHub, PyPI.
You can use cleanlab like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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