Project details for slim for matlab

Logo slim for matlab 0.2

by ustunb - August 23, 2016, 20:27:00 CET [ Project Homepage BibTeX BibTeX for corresponding Paper Download ]

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SLIM is new machine learning method for building data-driven scoring systems -- that is, simple classification models that let users make quick predictions by adding, subtracting and multiplying a few small numbers.

slim for matlab is a package to create scoring systems that are fully optimized for accuracy and sparsity, and that satisfy difficult constraints without parameter tuning (e.g. hard limits on model size, the true positive rate, the false positive rate).

This package requires MATLAB (2014b+) and the IBM CPLEX Optimization Studio (v12.6 or later).

Changes to previous version:

Initial Announcement on

BibTeX Entry: Download
Corresponding Paper BibTeX Entry: Download
Supported Operating Systems: Linux, Windows, Unix, Mac, Osx
Data Formats: Matlab
Tags: Classification, Optimization, Sparsity, Constraints, Integer Programming, Scoring Systems, Simple
Archive: download here


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