Result for 0528E53D9EAE02BD9750990E9116B02D806A29D6

Query result

Key Value
FileName./usr/share/doc/python-pebl-1.0.2/html/discretizer.html
FileSize6424
MD58FD3E3E6849D0E7B681A85C23DCCA517
SHA-10528E53D9EAE02BD9750990E9116B02D806A29D6
SHA-2563C07F216BD36867E858E0B1CCE9C204B3353962DFFE6FDC512854E4DB951EC44
SSDEEP96:4S6fFSMRD3MD9ljm0niUDp6EEASUu1QKZAQmfpwDAVlSg91TYDKjmcniKDp6r+e:0F1Rkg0nvVktQCpmfWYSk1KcnLVE
TLSHT1F9D1A62D95F06933480655E3DAF55A21BC92C1ABE206190CB1FC526CAFC7FA29E0774E
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
MD5FD4CA8309518CE89B532D93D2D00F359
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
PackageRelease9.fc18
PackageVersion1.0.2
SHA-1718E050AE8AD6F830E8F7E7FF31D08CAB2A00AEB
SHA-25626BBEBDBA2AFFDD40145BCF6D8B1A897EA616320510EAD6F7D1B7CC8BB405277
Key Value
MD5680CB2A8BD3C4EB6A760CD2F17D13CB7
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
PackageRelease9.fc18
PackageVersion1.0.2
SHA-1CC718AD0C8B54E0A8037B241D9AA5172EC3C9049
SHA-25672813ACFC93464A7B0F1010778E466A80899A0E6B4FBC5631493852FBACE2583