Result for 092968A3FA30F619B1E7C642E596C641EAAA42B3

Query result

Key Value
FileName./usr/share/doc/python-pebl-1.0.2/html/learner/simanneal.html
FileSize8659
MD5BBF9DF86DF12890C579DA2003DA75AE0
SHA-1092968A3FA30F619B1E7C642E596C641EAAA42B3
SHA-256B8FBBB7C1E5E1FE2F7E1A85BAF216DB34130A44E38E949578548FF2D09D301F0
SSDEEP96:xqXfFMMAutD9Wjm0naA16zm03yqAXdS2t/S6oyh3T1T5DPjmcn4A16+L:6FLAa10naQuyhXdvXjj1Ucn4QF
TLSHT13602421A9DF00A33811787EED1965B23B8C54047F215185DF4FC8A8F9F97E91BB1BA0A
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
MD5199B2A76C34980D7D64356BBE0D7110E
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
PackageRelease7.fc17
PackageVersion1.0.2
SHA-15C0525C1EF205CEF2CBFF99F841D2EBE33EC9C22
SHA-256C0239568E2F031687050D6C3702F4B3304B0CD1A1C1AA05858B9BAE927C57DEE
Key Value
MD5C703F501977D6200CDB1ED253EDA8EAA
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
PackageRelease7.fc17
PackageVersion1.0.2
SHA-179F4C780FB1BF6C4FF42A453E79DBBD576ED38E4
SHA-2569E2159553FB929FF0D9D0C5A1F71175CFE5CC56A576381607D8CD8861E56E2EA