Result for 033F0B2203104463516CF0D150927E83A0E02411

Query result

Key Value
FileName./usr/share/doc/python-pebl-1.0.2/html/search.html
FileSize3381
MD59A8D6EA4E6EA1642695943AAF371D624
SHA-1033F0B2203104463516CF0D150927E83A0E02411
SHA-256DFC7FEAAD8F18410C5936E3D876AB4E6D16E0CC0DD802A8697FC2903710A50CA
SSDEEP96:/S6fFc0jMD9ljmDp62CnW6Za8vDKjmDp6q:XFOgV2a8dV/
TLSHT1E0616515ACF1E41380728AD3E4F6ED16AE86D157960A880871DC56AD6FC3F884D4F78E
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
MD5A42C95EB5476A85B9B84D5FF37558FBE
PackageArchppc
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
PackageMaintainerKoji
PackageNamepython-pebl
PackageRelease7.fc17
PackageVersion1.0.2
SHA-14FE3C4FEBC7E80738593F21CB73397F067A08FC0
SHA-2568EBE29898161FCD7C7B928270864BAFABDF3E443CB1228618417839B015CFC4A
Key Value
MD5BD91E2A6307FBE9B7A69EF91A3FC65C6
PackageArchppc64
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
PackageMaintainerKoji
PackageNamepython-pebl
PackageRelease7.fc17
PackageVersion1.0.2
SHA-1E7E2B7120692DBA7EAB8B0C8264E91347AB138F7
SHA-256D1171014600F3AD1D1A3EE0F31D31EC7693F0585C05AFD0D5EA0D1F65B1570FC