Result for 028AA49E90DCFC0C0E23BB8731E38EFBDC522119

Query result

Key Value
FileName./usr/share/doc/python-pebl/html/learner/greedy.html
FileSize9126
MD525892F96FCFD27F2F37D80CF16594FF7
SHA-1028AA49E90DCFC0C0E23BB8731E38EFBDC522119
SHA-2561062107E2B4853271B2CBC35CC0DAFAF0C902000B320CDBA8DB2790E4556D8ED
SSDEEP96:6YXfFYMA/4tD9Wjm7n3zAp6zK9DBlydENgfLy02nxLjw6j0xS2kQ22pubqvU7S1I:XFXAY17nD6WKj986j0xyQ2j+1Udnf6w
TLSHT19912631A5EE05A3341131BDFD5E51B22B8C2C057E1561CA4B4FCDD4A9F8BD91AB0BE0B
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
MD56C0C1A06AAD1AA625E76C844FEC6AEEF
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
PackageRelease11.fc20
PackageVersion1.0.2
SHA-1CEC725E50E70D6A768F0CED845A483065F31F163
SHA-25674FE8C11EC696F3AC1F011B13187B21BCEC1EAE9378772B7649A80C975052238
Key Value
MD588F36808E2319D8F8DD3D35ADDE0C223
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
PackageRelease11.fc20
PackageVersion1.0.2
SHA-1E64A1F4FF22FD93CB728C29F9CCDA92D113C843D
SHA-256E2228562C7E011A10A30998385321DE3E989E38725FAE09F1C75643FADE941FC