Result for 04C36F55649ADB4B2E0686C6AAAD90DA26184590

Query result

Key Value
FileName./usr/share/doc/python-pebl/html/tutorial.html
FileSize40942
MD5F11379A20F8202D22EBBDDF395358A9B
SHA-104C36F55649ADB4B2E0686C6AAAD90DA26184590
SHA-256DE450661F993F5C2EDED6EB5EAA3EE19ED853B2577BA311AD0BAD98D469233C3
SSDEEP384:uFqQnyx4JKTGICfE9umCa6BYuprI4ajV7h95RTNWXFuw1KAnwN:utPITGoumCa6B046NcXQaM
TLSHT1890362D5E6F79233017395C762AE1BB6B0E1943AE4920041A6FC87BC07DCD907947EAE
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
MD5FAB3B78BA5DEE316CA1110607025BEEA
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
PackageRelease13.fc22
PackageVersion1.0.2
SHA-1D4654C07ED1DFC78BBF494E7BD9868B7099C6C27
SHA-2569866141B5965469236DE0D2BA09CE9A91B30C108CCF63C8DC89B8074BBCCB96D
Key Value
MD5924864B51358746104F9EA6E9B15D6C7
PackageArchppc64le
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.fc22
PackageVersion1.0.2
SHA-1764B55AAAA5D06648D5D1B7AD9F78E5949EEC7A3
SHA-2562BEB4D794B69FA80AFF819DBE3CA107B263786CF30213C2D0027377C0BDF3215