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improb is a Python module for working with imprecise probabilities.

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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.

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Filename, size & hash SHA256 hash help File type Python version Upload date
improb-0.1.1-py2.6.egg (109.6 kB) Copy SHA256 hash SHA256 Egg 2.6 Jun 13, 2011
improb-0.1.1-py2.7.egg (108.4 kB) Copy SHA256 hash SHA256 Egg 2.7 Jun 14, 2011
improb-0.1.1.win32.exe (247.4 kB) Copy SHA256 hash SHA256 Windows Installer any Jun 14, 2011 (582.0 kB) Copy SHA256 hash SHA256 Source None Jun 13, 2011

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