Result for 1563CE15DA6D418684DC3F5335A7E0119896BFF9

Query result

Key Value
FileName./usr/share/doc/python-pebl-1.0.2/html/taskcontroller/multiprocess.html
FileSize7529
MD51D6224EE9CC4C613B92894C1C40A1AF8
SHA-11563CE15DA6D418684DC3F5335A7E0119896BFF9
SHA-2563DC4404FF38753449CD27923D577065675C627CCA8029B6AEC437F23E188B5D4
SSDEEP192:Z/FXAy1Sno6UzXFcjn4b2kx1uNIXs1UGne679:FFX3SnoVacs1UGne6
TLSHT1EFF154128DF46A3356C34BD9F6F1873ABCD2C097EA050815B0FCA9596FC6DC29907A0A
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
MD5798DAF4AF18EAC82C581973673C9617F
PackageArcharmv7hl
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
PackageRelease8.fc17
PackageVersion1.0.2
SHA-114B701920D3B45A1BE746FD019FA36BEC8E58C83
SHA-2568A83BA9132F80FEB353320B991E9AEDD5D9A93B0DDCF2A0CA89150D12430C986
Key Value
MD5D5D74F5646C6DC3E13ACC08261CD59FD
PackageArcharmv5tel
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
PackageRelease8.fc17
PackageVersion1.0.2
SHA-1F78093FB8A9A4D4F023FBA6FD98A0F852E23717E
SHA-2565C07345BD778117AFCF118353F7FA864C5C63A4779AB19E95210269AEDAED307