Result for 0442B24A55CC83411EB48CD9F8872D56EE1F3D04

Query result

Key Value
FileName./usr/share/doc/python-pebl-1.0.2/html/taskcontroller/multiprocess.html
FileSize7529
MD540B963EC0ED15B70FFB8F55CD26BEC9B
SHA-10442B24A55CC83411EB48CD9F8872D56EE1F3D04
SHA-25650A89CDA3216AC88D3A3E98D059EB5F60FC343A83B33C5F94976A23E9BD76712
SSDEEP192:Z/FXAy1Sno6UzXFcjn4b2kx1uNIXs1UGne6T:FFX3SnoVacs1UGneQ
TLSHT132F153168DF46A3396C34BD5F6F1873ABCD2C097EA050815B0FCA9596FC6EC19907A0A
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