Parents (Total: 23)

The searched file hash is included in 23 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	DA9115F16A5B2A2225579EC253FD22E3
PackageArch	aarch64
PackageDescription	Pebl 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
PackageMaintainer	Fedora Project
PackageName	python-pebl
PackageRelease	13.fc21
PackageVersion	1.0.2
SHA-1	0213DC85E41ECC5F3AF5F79F605DB818E7A0C762
SHA-256	DC4F67D751723380756D931B84A6D50C01BE85D3762D2E3253101BDD95136B17

Key	Value
MD5	1C0EBED9DF2D3608F2F1A32C851D57C2
PackageArch	s390x
PackageDescription	Pebl 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
PackageMaintainer	Fedora Project
PackageName	python-pebl
PackageRelease	7.fc15
PackageVersion	1.0.2
SHA-1	0FA2BF96EC9F29BA6451956D7CB708CED0344E94
SHA-256	9EFDD1BCC87B23BABDB686D5924EB437CD7AECA504EF0EC6885F121EA8AA09DD

Key	Value
MD5	B2480E903ED82A70B130523B1E52E705
PackageArch	aarch64
PackageDescription	Pebl 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
PackageMaintainer	Fedora Project
PackageName	python-pebl
PackageRelease	14.fc23
PackageVersion	1.0.2
SHA-1	14B51F11BB70B7115F366794727E46BAC6BE7A02
SHA-256	8C6DC73AF4877DB4993F670F57FE44BA5235FC9FEF25DFC329101EFDFD35DF02

Key	Value
MD5	66CC6981A51A2C41490201E5F9FB0C29
PackageArch	aarch64
PackageDescription	Pebl 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
PackageMaintainer	Fedora Project
PackageName	python-pebl
PackageRelease	14.fc23
PackageVersion	1.0.2
SHA-1	1C679B8C0C06E56A4668637D6DFED31668536B1E
SHA-256	B69F260448BB9AD19B5DC78FC23176E38F0921F093B7A28C2D48C52198F316BA

Key	Value
MD5	447216019EE3A45ABAA8DAA20555381C
PackageArch	aarch64
PackageDescription	Pebl 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
PackageMaintainer	Fedora Project
PackageName	python-pebl
PackageRelease	13.fc22
PackageVersion	1.0.2
SHA-1	2B6655CC86BF03038B1BF7E8DF699C98754A0273
SHA-256	067DF6BB4DB009AF2E69E00F494A21CA7BD877E639C77B3199704FFFBF1CFB40

Key	Value
MD5	09514D7D4FF7DF3CDFE1886463063ECA
PackageArch	ppc64
PackageDescription	Pebl 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
PackageMaintainer	Koji
PackageName	python-pebl
PackageRelease	9.fc18
PackageVersion	1.0.2
SHA-1	39CBE24517200AAD70554C10907478A0DFC73F49
SHA-256	A992C5AC77B150182399C81E94B4BD68BA3D063933050AB38D8A2CFC1253B6B4

Key	Value
MD5	73EEB5D575C87E19A776A4C6F0E5D682
PackageArch	s390x
PackageDescription	Pebl 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
PackageMaintainer	Fedora Project
PackageName	python-pebl
PackageRelease	10.fc19
PackageVersion	1.0.2
SHA-1	5DB1211F169CE9DF91A8753BF5C47585D2B58EE1
SHA-256	860FB2F9027F081A1E96CDB2E5DCB79A4674C2DB8F96C10A7C53D9A5E3357613

Key	Value
MD5	625BFE16FB146007A9F0C537968B9AD6
PackageArch	s390x
PackageDescription	Pebl 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
PackageMaintainer	Fedora Project
PackageName	python-pebl
PackageRelease	14.fc23
PackageVersion	1.0.2
SHA-1	5E0010D69D453EFD8A7599244119782B420FA205
SHA-256	7BC82BBA83CEC9AE75B359E2BFECB9CE9C0A2494D5C6F8F7EEF7EAEAA2F8481B

Key	Value
MD5	1431624840F377D2B60AE86BA3B48125
PackageArch	ppc64
PackageDescription	Pebl 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
PackageMaintainer	Fedora Project
PackageName	python-pebl
PackageRelease	10.fc19
PackageVersion	1.0.2
SHA-1	695BC0A721BCFA496A46E3FE079B217FE469C1B5
SHA-256	99755AFD9CC9DCA8556401A62F358456D3B2BDCFA0E3F55E7DAA6D3827355E6B

Key	Value
MD5	12B382038C666D964D9D463BC6477417
PackageArch	s390x
PackageDescription	Pebl 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
PackageMaintainer	Fedora Project
PackageName	python-pebl
PackageRelease	13.fc22
PackageVersion	1.0.2
SHA-1	6F5CB46B331674CB7147854A5426ED3E6B0AFE42
SHA-256	14FC2FDBF6FAD1E0EE242491FC71FC5F9F3E09859F4AA1B52C5AE06CA79D3018