Result for 08960582588C3ABDFEEB10E844DBA90AC275D74A

Query result

Key Value
FileName./usr/share/doc/python-pebl-1.0.2/html/prior.html
FileSize8510
MD5DF4F9C250644A636AD8732C734BF5CC7
SHA-108960582588C3ABDFEEB10E844DBA90AC275D74A
SHA-2564C69B4AA0F8FF6144CD4B16187A6A84AACADC35E9ABA38679152BA4EBB3EEC65
SSDEEP192:YFTRrHglnaChyuQX/OvSEA0yTYxkZkyW/gMVmh1KrnaAhr:YFThAlnaC2OvSEA0yExkZhuAh1KrnaAd
TLSHT19F02C626D9F00E37486376E6EAE25B21B9C2816BD105084974FCC29D2FC7D91D92BB0B
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD51C0EBED9DF2D3608F2F1A32C851D57C2
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
PackageRelease7.fc15
PackageVersion1.0.2
SHA-10FA2BF96EC9F29BA6451956D7CB708CED0344E94
SHA-2569EFDD1BCC87B23BABDB686D5924EB437CD7AECA504EF0EC6885F121EA8AA09DD