Result for 05EE260CFD052AC74BF8318AE59F5ED74B6F7244

Query result

Key Value
FileName./usr/share/doc/python-pebl-1.0.2/html/learner/simanneal.html
FileSize8656
MD5D56159DE33E572D4936D5C0C6B4D7E58
SHA-105EE260CFD052AC74BF8318AE59F5ED74B6F7244
SHA-256A039F1ABBB74AD0B41AFB4E3B930AEEA497F3A7146C6C05967DF70E515CBD426
SSDEEP96:BYXfFYMAutD9Wjm0naAp6zm03yqAXdS2t/S6oyh3S1T5DPjmcn4Ap6+Ge:+FXAa10na6uyhXdvXjC1Ucn46T
TLSHT18F02521A9DF00A33811787EED1965B23B8C54047F6051C5CF4FC8A8E9F97E91BB1BA0A
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD573EEB5D575C87E19A776A4C6F0E5D682
PackageArchs390x
PackageDescriptionPebl is a python library and command line application for learning the structure of a Bayesian network given prior knowledge and observations. Pebl includes the following features: - can learn with observational and interventional data - handles missing values and hidden variables using exact and heuristic methods - provides several learning algorithms; makes creating new ones simple - has facilities for transparent parallel execution using several cluster/grid resources - calculates edge marginals and consensus networks - presents results in a variety of formats
PackageMaintainerFedora Project
PackageNamepython-pebl
PackageRelease10.fc19
PackageVersion1.0.2
SHA-15DB1211F169CE9DF91A8753BF5C47585D2B58EE1
SHA-256860FB2F9027F081A1E96CDB2E5DCB79A4674C2DB8F96C10A7C53D9A5E3357613
Key Value
MD5110AE46CBBB18FCBBF742D5EC5C44B04
PackageArchs390
PackageDescriptionPebl is a python library and command line application for learning the structure of a Bayesian network given prior knowledge and observations. Pebl includes the following features: - can learn with observational and interventional data - handles missing values and hidden variables using exact and heuristic methods - provides several learning algorithms; makes creating new ones simple - has facilities for transparent parallel execution using several cluster/grid resources - calculates edge marginals and consensus networks - presents results in a variety of formats
PackageMaintainerFedora Project
PackageNamepython-pebl
PackageRelease10.fc19
PackageVersion1.0.2
SHA-14E15D778B1BF95129F163DEBCEFA884035C0CB36
SHA-2566CD7B0919D52A9C54D7D89589413E67907A3D13F685CF155627A92B5C075559B