Result for 081592DAB1DDAA8D59D724B3B7BDA8E57C6DD915

Query result

Key Value
FileName./usr/share/doc/python-pebl-1.0.2/html/learner/simanneal.html
FileSize8656
MD5A42235E737E3A3ABCF80DDD99F1FF548
SHA-1081592DAB1DDAA8D59D724B3B7BDA8E57C6DD915
SHA-25606171825E34EC8BF68C6189B4242CFF788FC05220C7E7702877F75DF7B982D69
SSDEEP96:BYXfFYMAutD9Wjm0naAp6zm03yqAXdS2t/S6oyh3S1T5DPjmcn4Ap6++e:+FXAa10na6uyhXdvXjC1Ucn46v
TLSHT15102521A9DF00A33811787EDD1965B23B8C54047F6051C5CF4FC8A8E9F97E91BA1BA0A
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
MD5FD4CA8309518CE89B532D93D2D00F359
PackageArchs390
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
PackageRelease9.fc18
PackageVersion1.0.2
SHA-1718E050AE8AD6F830E8F7E7FF31D08CAB2A00AEB
SHA-25626BBEBDBA2AFFDD40145BCF6D8B1A897EA616320510EAD6F7D1B7CC8BB405277
Key Value
MD5680CB2A8BD3C4EB6A760CD2F17D13CB7
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
PackageRelease9.fc18
PackageVersion1.0.2
SHA-1CC718AD0C8B54E0A8037B241D9AA5172EC3C9049
SHA-25672813ACFC93464A7B0F1010778E466A80899A0E6B4FBC5631493852FBACE2583