Result for 09FB189F3B1AF2D818DF948A4CAAE3782944439D

Query result

Key Value
FileName./usr/share/doc/python-pebl-1.0.2/html/posterior.html
FileSize7038
MD5D323DD135C9CD9B05318303E70E8DFD8
SHA-109FB189F3B1AF2D818DF948A4CAAE3782944439D
SHA-25658C06627C6013C2B01B3F0F9CC0FFF78F6FA5863742A2D91991F68EE67DE76B1
SSDEEP192:h6FTRSgknFhMFt8otAsiL1V+blSo1KsnJhr:h6FT3knFeFCqAsIV+blSo1KsnJd
TLSHT15CE1843A99F04E37594356E2EAE59B22FD828057D206189CB0FC829D1FCBE41C91F74E
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