slim-python | simple customizable scoring systems in python

by ustunb Python Version: Current License: GPL-3.0

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kandi X-RAY | slim-python Summary

slim-python is a Python library. slim-python has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

slim-python is a package to learn customized scoring systems for decision-making problems. These are simple decision aids that let users make yes-no predictions by adding and subtracting a few small numbers. SLIM is designed to learn the most accurate scoring system for a given dataset and set of constraints. These models are produced by solving a hard optimization problem that directly optimizes for accuracy, sparsity, and customized constraints (e.g., hard limits on model size, TPR, FPR).

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slim-python has a low active ecosystem.

It has 33 star(s) with 12 fork(s). There are 10 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. On average issues are closed in 975 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of slim-python is current.

Quality

slim-python has 0 bugs and 0 code smells.

Security

slim-python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

slim-python code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

slim-python is licensed under the GPL-3.0 License. This license is Strong Copyleft.

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

Reuse

slim-python 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 are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed slim-python and discovered the below as its top functions. This is intended to give you an instant insight into slim-python implemented functionality, and help decide if they suit your requirements.

create a SpiSimipy SpatialIndex
Calculate the accuracy statistics for a model .
Verify that the MIP output is correct
Prints the minimization of a minimization .
Set field value .
Creates a summary summary for the minimisation .
Compute the summary of the given rho matrix
Checks the input data .
Convert data value to easy type .
Get or set the value of a setting .

Get all kandi verified functions for this library.

slim-python Key Features

No Key Features are available at this moment for slim-python.

slim-python Examples and Code Snippets

No Code Snippets are available at this moment for slim-python.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install slim-python

You can download it from GitHub.
You can use slim-python 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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