Parents (Total: 4)

The searched file hash is included in 4 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	91678
MD5	B270F0B8F74E266AF8C1F18356C79A6B
PackageDescription	SVM trainer and classifier toolkit - debug symbols SVMs (Support Vector Machines) are supervised learning models with associated learning algorithms. . This package provides the detached debug symbols for the TinySVM library.
PackageMaintainer	Giulio Paci <giuliopaci@gmail.com>
PackageName	libtinysvm1-dbg
PackageSection	debug
PackageVersion	0.09+dfsg-2
SHA-1	03E3A37BCC86913359F3869DDA136DFF0CCFA14B
SHA-256	1644A3C82DBAAA4FD7EA24817F42A0DE859733C7EFDEDFA73BD3AFA0247EB908

Key	Value
FileSize	42272
MD5	BEBB8E20017C350858E5589EDA1D1FAC
PackageDescription	SVM trainer and classifier toolkit - development files SVMs (Support Vector Machines) are supervised learning models with associated learning algorithms, and have been proven suitable for a large number of real-world applications, such as text categorization, hand-written character recognition, and image classification. TinySVM is an implementation specialising in pattern recognition. . This package provides development headers for TinySVM.
PackageMaintainer	Giulio Paci <giuliopaci@gmail.com>
PackageName	libtinysvm-dev
PackageSection	libdevel
PackageVersion	0.09+dfsg-2
SHA-1	552C551BDC547745716A929DEDE0AC866924D76C
SHA-256	E134692B600110721E62AD59A54409E2911AE81129FC13C8AD12FFA86A86C2F2

Key	Value
FileSize	24886
MD5	10CA665CD47B175E97B93A7DF99B7213
PackageDescription	SVM trainer and classifier toolkit SVMs (Support Vector Machines) are supervised learning models with associated learning algorithms, and have been proven suitable for a large number of real-world applications, such as text categorization, hand-written character recognition, and image classification. TinySVM is an implementation specialising in pattern recognition. . This package provides tools for developing SVMs with TinySVM.
PackageMaintainer	Giulio Paci <giuliopaci@gmail.com>
PackageName	tinysvm
PackageSection	science
PackageVersion	0.09+dfsg-2
SHA-1	8E7372C40351033EB34F595BB8ED4F8A20E2F4B8
SHA-256	B5B6F03EBE90753FF1E26DD9FA6EAB644ACD7EEE755CFC2D3B0D9DFFFECC8931

Key	Value
FileSize	31526
MD5	A34926154FDD6110EFDDC7894BEE8323
PackageDescription	SVM trainer and classifier toolkit - runtime library SVMs (Support Vector Machines) are supervised learning models with associated learning algorithms, and have been proven suitable for a large number of real-world applications, such as text categorization, hand-written character recognition, and image classification. TinySVM is an implementation specialising in pattern recognition. . This package contains the TinySVM runtime library.
PackageMaintainer	Giulio Paci <giuliopaci@gmail.com>
PackageName	libtinysvm1
PackageSection	libdevel
PackageVersion	0.09+dfsg-2
SHA-1	6A892493B7D06688366DD761AB8513613F5BC961
SHA-256	35EABA56AE23C67B1767672A189F3971EFADDC5989B29FF3E10469E390DEBEF8