# improb

**Repository Path**: mirrors_mcmtroffaes/improb

## Basic Information

- **Project Name**: improb
- **Description**: A Python module for working with imprecise probabilities.
- **Primary Language**: Unknown
- **License**: GPL-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-08-09
- **Last Updated**: 2026-03-21

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

improb is a Python module for working with imprecise probabilities.

The library supports arbitrary finitely generated conditional lower
previsions, belief functions, linear-vacuous mixtures, probability
measures, n-monotone lower probabilities, Mobius transforms, and
Choquet integration.

Various decision criteria, such as Gamma-maximin, Gamma-maximax,
interval dominance, and maximality, are implemented. For sequential
decision problems, the library has a convenient interface for
constructing decision trees of any size, and has algorithms for
solving them by normal form, or by normal form backward induction.

* Download: http://pypi.python.org/pypi/improb/#downloads

* Documentation: http://packages.python.org/improb/

* Development: http://github.com/mcmtroffaes/improb/