Result for 018B8024DD927E63D7368BFF028397AB60CB827B

Query result

Key Value
FileName./usr/share/doc/python-pebl/html/index.html
FileSize5054
MD569A6BD2B10E3FEEE5B46E0F41B046332
SHA-1018B8024DD927E63D7368BFF028397AB60CB827B
SHA-2568DBC6BEFFC6BC49860EEEBF322355C7BB6836F9F837F53DE44738F25520165D2
SSDEEP96:hSTffFbLMD9ljmOnl6cwh77DAlUo91TYDKjmKnl6C:u3FbsgOnlm7IU81KKnlD
TLSHT1C0A1422158E5AD37861347DABAB26B3A7C97C127C60A180931FC11AE1FC2F658E0774F
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
MD5DA9115F16A5B2A2225579EC253FD22E3
PackageArchaarch64
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
PackageRelease13.fc21
PackageVersion1.0.2
SHA-10213DC85E41ECC5F3AF5F79F605DB818E7A0C762
SHA-256DC4F67D751723380756D931B84A6D50C01BE85D3762D2E3253101BDD95136B17