Result for 13D44CBF2651F81551E6E0DF2DB4F12E82D38E10

Query result

Key Value
FileName./usr/share/doc/python-pebl-1.0.2/html/discretizer.html
FileSize6424
MD597A042895C6AC7DE43116BF52DE2F144
SHA-113D44CBF2651F81551E6E0DF2DB4F12E82D38E10
SHA-25675328BF43E48176888A37AC41D40C0EF5338FBD9AB34BA563007A2091633AC93
SSDEEP96:4S6fFSMRD3MD9ljm0niUDp6EEASUu1QKZAQmfpwDAVlSg91TYDKjmcniKDp6r9e:0F1Rkg0nvVktQCpmfWYSk1KcnLVd
TLSHT1E8D1B72D95F06933480655E3DAF55B21BC92C1ABE206190CB1FC526CAFC7FA29E0774E
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
MD560A8FE53117958059DDD5AD306C4393C
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
PackageRelease9.fc18
PackageVersion1.0.2
SHA-12CC3C88B6EEE2E3E33C0DE8ADACDB70CC15BB3B7
SHA-2566FFF4EDC66B05BBA8B0654897D6E39A2BAAF3E25DE92D350D79A4A699D5CF2CC
Key Value
MD532AEC172531B04237342A35B9C53D3F2
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
PackageRelease9.fc18
PackageVersion1.0.2
SHA-133D27A1FC557C3A92FB10E7D1478D072F65E7CF8
SHA-256450D6E7BE84265C19D641B2D6887E14CF737D07389CA7DFB4386BA5A14C35D6E