Parents (Total: 43)

The searched file hash is included in 43 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	AF0A80E55F0A2DD9AF82748F486D8147
PackageArch	noarch
PackageDescription	Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.
PackageMaintainer	Fedora Project
PackageName	weka
PackageRelease	5.fc15
PackageVersion	3.6.2
SHA-1	05C95A1E4C199FFD0AF520272D66C5C259D5C690
SHA-256	7032BCD9F1F36009185E154D702650590D725E2F634F34CA12F61B7868F22BDA

Key	Value
MD5	FB0FDC148881D2057ED6FD3B3B86138D
PackageArch	noarch
PackageDescription	Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.
PackageMaintainer	Fedora Project
PackageName	weka
PackageRelease	1.fc18
PackageVersion	3.6.8
SHA-1	0B8CB68B514D3C4025099E0DB6A462AAED99D026
SHA-256	3D35131B632B13C0EEE5EE12D6A525DE6C4F90FEF6ED1F3839056C2AA131FB6A

Key	Value
MD5	6CA942E1743D91DED4B1BFD08D9AF700
PackageArch	x86_64
PackageDescription	An R interface to Weka (Version 3.7.10). Weka is a collection of machine learning algorithms for data mining tasks written in Java, containing tools for data pre-processing, classification, regression, clustering, association rules, and visualization. Package RWeka contains the interface code, the Weka jar is in a separate package RWekajars. For more information on Weka see <http://www.cs.waikato.ac.nz/~ml/weka/>.
PackageName	R-RWeka
PackageRelease	1.123
PackageVersion	0.4.39
SHA-1	0E40454308D759B3F7D76AC6CA2EE8C7B9BE7D65
SHA-256	DD04AF53C3BA3674FEC64E770440628FD9F92B9E062972FDF719109A60E0167A

Key	Value
MD5	6CC4BB080A104D66E2BD639683C06D63
PackageArch	noarch
PackageDescription	Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.
PackageMaintainer	Fedora Project
PackageName	weka
PackageRelease	6.fc17
PackageVersion	3.6.2
SHA-1	1E29FADF4F5D8F231B0A3A4B67F1025E40B3D15B
SHA-256	2904DDA4EF487E5F2E7BCA470D978EAE0E90DEA812ADE60D3BB368A43EC0BCDC

Key	Value
MD5	26BC7C70CBB10CC5B371354932D201BA
PackageArch	x86_64
PackageDescription	An R interface to Weka (Version 3.7.10). Weka is a collection of machine learning algorithms for data mining tasks written in Java, containing tools for data pre-processing, classification, regression, clustering, association rules, and visualization. Package RWeka contains the interface code, the Weka jar is in a separate package RWekajars. For more information on Weka see <http://www.cs.waikato.ac.nz/~ml/weka/>.
PackageName	R-RWeka
PackageRelease	1.14
PackageVersion	0.4.39
SHA-1	200251EF4DF12DC8E8A4ED2D0B62AA914777F89E
SHA-256	F638E265C4C7F06E3F5FFC874B2D359977109BC2FC2510E031892828C5C27096

Key	Value
MD5	F682D20D190BC1A32EE58A4D1E90DCA9
PackageArch	x86_64
PackageDescription	An R interface to Weka (Version 3.7.10). Weka is a collection of machine learning algorithms for data mining tasks written in Java, containing tools for data pre-processing, classification, regression, clustering, association rules, and visualization. Package RWeka contains the interface code, the Weka jar is in a separate package RWekajars. For more information on Weka see <http://www.cs.waikato.ac.nz/~ml/weka/>.
PackageName	R-RWeka
PackageRelease	lp151.1.58
PackageVersion	0.4.39
SHA-1	222C4EADFBCFCE6387D5FE33A3D3EA2DAAD80639
SHA-256	09DB681F992626D0F6764B66D264E3AE03692E9E910604B81D4CFFF04990C435

Key	Value
MD5	59655A970FA1B2742F2C7F6971433C89
PackageArch	noarch
PackageDescription	Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.
PackageMaintainer	Fedora Project
PackageName	weka
PackageRelease	5.fc15
PackageVersion	3.6.2
SHA-1	2737AAE6672EE0E774A4945C9559956FE8D22B98
SHA-256	FE1E281FD02276E615A9A2E09039F8FC5915E4BE721AA0C18BC9C13CCA242496

Key	Value
MD5	5EA8EB2849C90A6BDD85FC2DF0DA2A87
PackageArch	i586
PackageDescription	An R interface to Weka (Version 3.7.10). Weka is a collection of machine learning algorithms for data mining tasks written in Java, containing tools for data pre-processing, classification, regression, clustering, association rules, and visualization. Package RWeka contains the interface code, the Weka jar is in a separate package RWekajars. For more information on Weka see <http://www.cs.waikato.ac.nz/~ml/weka/>.
PackageName	R-RWeka
PackageRelease	1.93
PackageVersion	0.4.39
SHA-1	3154BF2E77CA73DF6CDA29FA429B2E206CA03B51
SHA-256	27D1DA71A1D553BF5D66C4E006B817B8A7ACF516B4F5A5FDCF60F49374EE8D69

Key	Value
MD5	3E729A70F089D3A2D172340F3C5596CE
PackageArch	noarch
PackageDescription	Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.
PackageMaintainer	Fedora Project
PackageName	weka
PackageRelease	1.fc18
PackageVersion	3.6.8
SHA-1	38CE31307DA5279F71EEB195D526690BA3B04754
SHA-256	88FD166B8C2DDA537315061B89D2E28612147FB37D805110A0F6F829CFC1069C

Key	Value
MD5	5C59A92767C1A29798188DA0EA0BF204
PackageArch	noarch
PackageDescription	Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes.
PackageMaintainer	Fedora Project
PackageName	weka
PackageRelease	4.fc21
PackageVersion	3.6.8
SHA-1	3B0CF102EBA4973CCD9581B0EDDBC5F3452E36F7
SHA-256	9C1B0DBE449D56866C95B290A7B1DB976F0CC1F5D6B3D893A64920AFECC378FA