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.
Documentation: http://packages.python.org/improb/
Development: http://github.com/mcmtroffaes/improb/
1 maintainer
Metadata
1 maintainer
Release files for improb 0.1.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| improb-0.1.1.zip | 582.0 kB | Without provenance | Details for improb-0.1.1.zip |
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| improb-0.1.1.win32.exe | Details for improb-0.1.1.win32.exe | |||
| improb-0.1.1-py2.7.egg | Legacy Egg format | - | - | Details for improb-0.1.1-py2.7.egg |
| improb-0.1.1-py2.6.egg | Legacy Egg format | - | - | Details for improb-0.1.1-py2.6.egg |
Total release size: 1.0 MB
Release files / improb-0.1.1.zip
| Download URL | improb-0.1.1.zip |
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| Size | 582.0 kB |
| Tags | Source |
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No |
Release files / improb-0.1.1.win32.exe
| Download URL | improb-0.1.1.win32.exe |
|---|---|
| Size | 247.4 kB |
| Tags | Source |
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Release files / improb-0.1.1-py2.7.egg
| Download URL | improb-0.1.1-py2.7.egg |
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Release files / improb-0.1.1-py2.6.egg
| Download URL | improb-0.1.1-py2.6.egg |
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| Size | 109.6 kB |
| Tags | Egg |
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