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.
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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|
|improb-0.1.1.zip (582.0 kB) Copy SHA256 hash SHA256||Source||None||Jun 13, 2011|