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improb 0.1.1

improb is a Python module for working with imprecise probabilities.

Package Documentation

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.

File Type Py Version Uploaded on Size
improb-0.1.1-py2.6.egg (md5) Python Egg 2.6 2011-06-13 106KB
improb-0.1.1-py2.7.egg (md5) Python Egg 2.7 2011-06-14 105KB
improb-0.1.1.win32.exe (md5) MS Windows installer any 2011-06-14 241KB (md5) Source 2011-06-13 568KB