Result for 00B3C8D12DBD6FFCC90A9B919D0F78B4C94F8054

Query result

Key Value
FileName./usr/share/doc/python-pebl/html/apiref.html
FileSize12581
MD5CE8AE98FE8186FEE0F3CFC2A7501D461
SHA-100B3C8D12DBD6FFCC90A9B919D0F78B4C94F8054
SHA-256029FDD9211FB5EA57B13DC7970EDF49996B037CFFD73BA09BEAB3DA07FB9E452
SSDEEP96:cSTffFSMCMD9ljminYDp61rZCzEgBR//9lU9nYFIo01bIVvtONhM2+zQzFTlF91p:X3F1XginYV2M4gLeSVsnp5H1K2nOVu
TLSHT15442DE320CA94E3302530ACDEB962B2974D7D9BFE14A4516B0FC21551B97FA6EA0371E
hashlookup:parent-total2
hashlookup:trust60

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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
MD566CC6981A51A2C41490201E5F9FB0C29
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
PackageRelease14.fc23
PackageVersion1.0.2
SHA-11C679B8C0C06E56A4668637D6DFED31668536B1E
SHA-256B69F260448BB9AD19B5DC78FC23176E38F0921F093B7A28C2D48C52198F316BA
Key Value
MD5B2480E903ED82A70B130523B1E52E705
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
PackageRelease14.fc23
PackageVersion1.0.2
SHA-114B51F11BB70B7115F366794727E46BAC6BE7A02
SHA-2568C6DC73AF4877DB4993F670F57FE44BA5235FC9FEF25DFC329101EFDFD35DF02