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improb is a Python module for working with imprecise probabilities.

Project Description

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.

Release History

Release History

This version
History Node

0.1.1

History Node

0.1.0

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
improb-0.1.1-py2.6.egg (109.6 kB) Copy SHA256 Checksum SHA256 2.6 Egg Jun 13, 2011
improb-0.1.1-py2.7.egg (108.4 kB) Copy SHA256 Checksum SHA256 2.7 Egg Jun 14, 2011
improb-0.1.1.win32.exe (247.4 kB) Copy SHA256 Checksum SHA256 any Windows Installer Jun 14, 2011
improb-0.1.1.zip (582.0 kB) Copy SHA256 Checksum SHA256 Source Jun 13, 2011

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