proxptlogreg | blog post : Proximal Point

by alexshtf Python Version: Current License: BSD-3-Clause

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

kandi X-RAY | proxptlogreg Summary

proxptlogreg is a Python library. proxptlogreg has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Code for my blog post Proximal point - convex on linear losses. The adult income data-set was taken from here. Reproduce the results by running experiment.py.

Support

Quality

Security

License

Reuse

Support

proxptlogreg has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

proxptlogreg has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of proxptlogreg is current.

Quality

proxptlogreg has no bugs reported.

Security

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

License

proxptlogreg is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

proxptlogreg 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.

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proxptlogreg Key Features

No Key Features are available at this moment for proxptlogreg.

proxptlogreg Examples and Code Snippets

No Code Snippets are available at this moment for proxptlogreg.

Community Discussions

No Community Discussions are available at this moment for proxptlogreg.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install proxptlogreg

You can download it from GitHub.
You can use proxptlogreg 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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