Result for 082478B9E0BCD9CA92DF3C9A9EA1CDEB4605BC91

Query result

Key Value
FileName./usr/share/doc/python-pebl/html/paramref.html
FileSize16917
MD5070C3E4C879B3B2565CE72956FAAEE72
SHA-1082478B9E0BCD9CA92DF3C9A9EA1CDEB4605BC91
SHA-2567A5F04215175932185D8C9BC00158BFB667D3B4E9AA96EB6F2D73986C0C064A4
SSDEEP192:mF1nIgWon2V1NNNZtIKoYXgpMzXVYcM1KWInEVB:mF1bWon2n/tn2MzacM1KWInEb
TLSHT1E27210196AD00E37C51317FDE6901B33E1C684AAF6A41491F0BC8E9A578BDE1EF1B605
hashlookup:parent-total2
hashlookup:trust60

Network graph view

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
MD5C488895300C9093877B1315F7BB0FCDA
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
PackageMaintainerFedora Project
PackageNamepython-pebl
PackageRelease11.fc20
PackageVersion1.0.2
SHA-1F2B9ECB882CCA8E3BE2238E00995728231BDB0FA
SHA-2565C582F2F05ECCED160AA7F79FC5BF8892CE72FE1BF4E5DA909C2A7F9CE5A59B6
Key Value
MD512A1DED1B9A9FED6A783E67993877FB1
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
PackageMaintainerFedora Project
PackageNamepython-pebl
PackageRelease11.fc20
PackageVersion1.0.2
SHA-1E8978F38D29D90BD9A0C62615F9A7D2D4101981D
SHA-256D9DE59FF38AF524BE8E31F2820FAC392F7A9DB62944FCB2B5A4CB642BFDFB578