Result for 084FF97FD0BF2A809B3C012D95E01FD56C2FD988

Query result

Key Value
FileName./usr/share/doc/python-pebl/html/network.html
FileSize16079
MD5C64EED5436B2A17012E6ECBAA1C07054
SHA-1084FF97FD0BF2A809B3C012D95E01FD56C2FD988
SHA-256309DB46AE26DCD83DDDCA1884137531F3452AF5CAAC81D1EBBB04F358811F1A8
SSDEEP384:zF1LCasnDtnEjKZoF9dJL4MmOSkee1KaEnfn:zvLTsREKUL43OSkeCE/
TLSHT12F723026E6B115339E1353E8E7A92B27F692846AD11304EE74FC47D90FC3D82E51F90A
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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
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