Parents (Total: 7)

The searched file hash is included in 7 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	4601BDEB2CD57CE0FA9EFAE9E44F5185
PackageArch	s390x
PackageDescription	uARMSolver allows users to preprocess their data in a transaction database, to make discretization of data, to search for association rules and to guide a presentation/visualization of the best rules found using external tools. Mining the association rules is defined as an optimization and solved using the nature-inspired algorithms that can be incorporated easily. Because the algorithms normally discover a huge amount of association rules, the framework enables a modular inclusion of so-called visual guiders for extracting the knowledge hidden in data, and visualize these using external tools.
PackageMaintainer	Fedora Project
PackageName	uARMSolver
PackageRelease	1.el8
PackageVersion	0.2.1
SHA-1	9087B1483AAC2523AB58D04696B7A5E6C1EAAF74
SHA-256	5C7D5428F348526BF77F75B34AE97AFAB93EDFFCB9427AF4B81DEC6F7B94D4BC

Key	Value
MD5	A3A199FA29C25632AD02BF2A149A5EE0
PackageArch	x86_64
PackageDescription	uARMSolver allows users to preprocess their data in a transaction database, to make discretization of data, to search for association rules and to guide a presentation/visualization of the best rules found using external tools. Mining the association rules is defined as an optimization and solved using the nature-inspired algorithms that can be incorporated easily. Because the algorithms normally discover a huge amount of association rules, the framework enables a modular inclusion of so-called visual guiders for extracting the knowledge hidden in data, and visualize these using external tools.
PackageMaintainer	Fedora Project
PackageName	uARMSolver
PackageRelease	1.el8
PackageVersion	0.2.1
SHA-1	BA5656A3E1DF16AE4276B7FFB3E9BBA15AC3760D
SHA-256	2AEE2F4E317E495B6636904C456B5F3C82F2408C76BC2A408DBE993CAE36146C

Key	Value
MD5	31563E16F442A73127ECF58DB60B1F2C
PackageArch	aarch64
PackageDescription	uARMSolver allows users to preprocess their data in a transaction database, to make discretization of data, to search for association rules and to guide a presentation/visualization of the best rules found using external tools. Mining the association rules is defined as an optimization and solved using the nature-inspired algorithms that can be incorporated easily. Because the algorithms normally discover a huge amount of association rules, the framework enables a modular inclusion of so-called visual guiders for extracting the knowledge hidden in data, and visualize these using external tools.
PackageMaintainer	Fedora Project
PackageName	uARMSolver
PackageRelease	1.fc34
PackageVersion	0.2.1
SHA-1	247580BF09C3DF1DCCE1C15FF295593FDEC7377F
SHA-256	A7A9E54A29C4B05A9BC6662D7DD9E4AC552FB3DD15EC707CD29C73EAE970940A

Key	Value
MD5	D89B56CF80AA1103FD9CD63EEA2DFC9F
PackageArch	armv7hl
PackageDescription	uARMSolver allows users to preprocess their data in a transaction database, to make discretization of data, to search for association rules and to guide a presentation/visualization of the best rules found using external tools. Mining the association rules is defined as an optimization and solved using the nature-inspired algorithms that can be incorporated easily. Because the algorithms normally discover a huge amount of association rules, the framework enables a modular inclusion of so-called visual guiders for extracting the knowledge hidden in data, and visualize these using external tools.
PackageMaintainer	Fedora Project
PackageName	uARMSolver
PackageRelease	1.fc34
PackageVersion	0.2.1
SHA-1	5A36C84243CC3DBF5859E52DDD2F9BB37FBE3BF8
SHA-256	85798A26C47BB995D3E1DB7932D4F5D9FE3D543EF99E25A4188A4F2B4BD05439

Key	Value
MD5	9308B40154EB2099E169DFD48BD22B5E
PackageArch	x86_64
PackageDescription	uARMSolver allows users to preprocess their data in a transaction database, to make discretization of data, to search for association rules and to guide a presentation/visualization of the best rules found using external tools. Mining the association rules is defined as an optimization and solved using the nature-inspired algorithms that can be incorporated easily. Because the algorithms normally discover a huge amount of association rules, the framework enables a modular inclusion of so-called visual guiders for extracting the knowledge hidden in data, and visualize these using external tools.
PackageMaintainer	Fedora Project
PackageName	uARMSolver
PackageRelease	1.fc34
PackageVersion	0.2.1
SHA-1	5AF92CE32F3E77890AB37B66E3D1D762B38CE5F5
SHA-256	2CE4A02F4EA956E349F57504A50122F0D81F4449209B33A662D3C6F67E75B051

Key	Value
MD5	21A8ED8ABF3A09ECB5686EBB22E7E85A
PackageArch	noarch
PackageDescription	A minimalistic toolbox for extracting features from sport activity files written in Python
PackageMaintainer	Fedora Project
PackageName	python3-sport-activities-features
PackageRelease	1.fc34
PackageVersion	0.1.2
SHA-1	7252F0CD560D265551DE7A8FB1B190A91C8441C8
SHA-256	B48793A7E7D8B4B5DAE75C539289D18EA2E7CD66D2AFCF9F280C543AA0FBCC09

Key	Value
MD5	D6E59D3AA99472ADBF015D0730A2A071
PackageArch	noarch
PackageDescription	Documentation for python-sport-activities-features.
PackageMaintainer	Fedora Project
PackageName	python-sport-activities-features-doc
PackageRelease	1.fc34
PackageVersion	0.1.2
SHA-1	6C7474E6044334D8EEDB3BE252E2A8F3F34C15D0
SHA-256	E659AEED09308866DE6E7E282B0AA9065292B74F0B66F3A6F2432F45FB044A58