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improb 0.1.1

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.

 
File Type Py Version Uploaded on Size # downloads
improb-0.1.1-py2.6.egg (md5) Python Egg 2.6 2011-06-13 106KB 278
improb-0.1.1-py2.7.egg (md5) Python Egg 2.7 2011-06-14 105KB 465
improb-0.1.1.win32.exe (md5) MS Windows installer any 2011-06-14 241KB 132
improb-0.1.1.zip (md5) Source 2011-06-13 568KB 234