Key | Value |
---|---|
FileName | ./usr/share/doc/tinysvm/THANKS |
FileSize | 46 |
MD5 | ACCBC98CD8F86EE5B0AF245164F9592B |
SHA-1 | 2221A637D6E76BB4B9A656B960964ED85871508F |
SHA-256 | 4EDB39A6AE11838D0D046CDF1A4CFE7F69596CE0E55540DCA29A644F33FC419D |
SSDEEP | 3:+rM+EjjMNGljJLl0KLPp:+rLMjMN+jFl0QPp |
TLSH | |
hashlookup:parent-total | 36 |
hashlookup:trust | 100 |
The searched file hash is included in 36 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 |
---|---|
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 |
Key | Value |
---|---|
FileSize | 27906 |
MD5 | BA5BA903FF9885F31004B4F25B3B2D14 |
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 | 2B287A2720B553A1E282B8420B077FC183AD320D |
SHA-256 | ABD822F1EF9718D02153A91C9D229BA7EA23260B449FCAFE4099BB1E9DE2D533 |