Parents (Total: 58)

The searched file hash is included in 58 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	82406
MD5	2771C3C4B3CD4459146DE6918D09D364
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	0451272481A0C020E429FE737E10C4FB3E3DFFAF
SHA-256	039DB0B1F66C3DA6CBCE7906FB6F4E31AB3951DB4B776239552495108F28EF68

Key	Value
MD5	5C239B2E6E201A566549619EE45F2583
PackageArch	x86_64
PackageDescription	Darts is a simple C++ template library to construct Double-Arrays [Aoe 1989]. Double-Arrays are data structures to represent Trie. These are faster than other Trie implementations. Darts is used by Chasen.
PackageMaintainer	https://bugs.opensuse.org
PackageName	darts
PackageRelease	lp150.1.3
PackageVersion	0.32
SHA-1	0F3E69F65FC59CE39C9883AC2AE24B45BFDBE64C
SHA-256	9AEDB15F379BD47568D78E52AB16E83706C6595FDED52B6609E82183D32A35CA

Key	Value
FileSize	36398
MD5	FFD1EBBCE9D0054CD997D66456A28E59
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	12872871256E6EED6BADB8DB17DBEA1EF57EE73F
SHA-256	641B26D32A966748E793FB4712A80B0D88E093EB3F0BEE5080C2672FEE61AF89

Key	Value
FileSize	83596
MD5	0CD499591C90A3300D8CC047A96FE612
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	163C9E8BB213AE64282FF07D4B901B141C28B4C6
SHA-256	E05498AC571CC8DC2207F08BB2308AD3479E610A2343A8CE74AC4F99C6AF6A13

Key	Value
FileSize	47562
MD5	D091480268DC1ED6370578AD5BB68475
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	17B0FB4237EC275FE1679B28DC2F6825AFD5442A
SHA-256	3D4593599762E32E838A0F19E0F484F4EBAB8F8B47DCA8A816B1195F2466977A

Key	Value
FileSize	36190
MD5	13A144EA458B7DA9CA27D66969DA3EC8
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	20171D29896961536E439C7F8DF8D08CD450A3C9
SHA-256	8A33404CACD932BD749655F104149A11A6FF7CD2EE769464EFE978E0A82DDB4B

Key	Value
FileSize	31920
MD5	E4D46A5B24B65C3DF2852732FABDCE6E
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	20C134B483579A3755B0B0DA8C00524CAD1CF56C
SHA-256	D68316B28CFFCBC8240FA9DB47692DE3325D66FC2C7C28D2ED31896DD34DDEB4

Key	Value
FileSize	36958
MD5	F9B35579A310BC8A4301A1136D9C1681
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	226A8DFD3ED0210D66C234AA214ABE19F1983846
SHA-256	B9D0050E31143EBF2C703EA8B4396530C77CAD9ADC93D8ABC0848F52E251E9F0

Key	Value
FileSize	28360
MD5	8F842BEAFDAE492645C0312C76558E06
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	2AF830E332FFEAD3662854B636B116792FED17D7
SHA-256	FE587A8B11EC58A1DA38BD9FCBB62B975922BC2D36159ECAF886C20D6ECCA3C4