discrim | Python functions to train/apply multiple sklearn

by dsmbgu8 Python Version: Current License: No License

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

kandi X-RAY | discrim Summary

discrim is a Python library. discrim has no bugs, it has no vulnerabilities and it has low support. However discrim build file is not available. You can download it from GitHub.

Python functions to train/apply multiple sklearn classifiers / regressors and keep track of input / output state.

Support

Quality

Security

License

Reuse

Support

discrim 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.

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

It has a neutral sentiment in the developer community.

The latest version of discrim is current.

Quality

discrim has no bugs reported.

Security

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

License

discrim 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.

Reuse

discrim releases are not available. You will need to build from source code and install.

discrim has no build file. You will be need to create the build yourself to build the component from source.

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discrim Key Features

No Key Features are available at this moment for discrim.

discrim Examples and Code Snippets

No Code Snippets are available at this moment for discrim.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install discrim

You can download it from GitHub.
You can use discrim 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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