Result for 039AF20E1FACDDD89E75C055F83689DF4DC78196

Query result

Key Value
FileName./usr/share/doc/python-pebl/html/config.html
FileSize17330
MD5288FF7CC3D3A97BD09041FD0EAE6720C
SHA-1039AF20E1FACDDD89E75C055F83689DF4DC78196
SHA-256E7726EE62C1B59745432C3A009E69A2AE6F3AC47357FF8812ADF0DB8F5033B0E
SSDEEP192:53F1RERgxMnWeVtTTldmcV9gIhgFoGMqGpTgEjhsqKXFPwRG2sc7e9andAdEucqA:lF1W22nWeHldmVITRLxS5cqo1KinWsv
TLSHT155723017AAE55A33443357E2E2EA0B26B4E185BAF516040574FC939C0FCBC95B913F1A
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
MD512B382038C666D964D9D463BC6477417
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
PackageRelease13.fc22
PackageVersion1.0.2
SHA-16F5CB46B331674CB7147854A5426ED3E6B0AFE42
SHA-25614FC2FDBF6FAD1E0EE242491FC71FC5F9F3E09859F4AA1B52C5AE06CA79D3018