Parents (Total: 5)

The searched file hash is included in 5 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	AEE73AC8D9914DA7200FFD3B26774188
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	941E097AAC308F67CE993DC5B9FC379FE8EA2317
SHA-256	91BD38A67CF55AD91A2F8A082688A37CC8C800F120CF445501CB300FDB7B808D

Key	Value
MD5	9F0ED07DF5C2DE042F55A1C3C908B774
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	EF5246B75CE06B536A771A718112EA4B6AEB6972
SHA-256	C7F7268FCA3402A013FC4B40FB64626D226922310FE733D815A60546D1BC149F

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	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	DEE0416F1504D1F2BEB0692C852E1F9F
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	4EE479F4FB9A53BF7B807DE5DD4832B71F176447
SHA-256	8D2F96F8829D83D255163B6632245FB882E2A27793DCB6348C0BDB546011FD6B