Key | Value |
---|---|
FileName | ./usr/share/doc-base/tinysvm |
FileSize | 569 |
MD5 | 9E9C003236AAE35CCBA32991AD344430 |
SHA-1 | 5BEA46B375B38B50A5CBB01EC7E1D4ED8E6CAD8F |
SHA-256 | 5B8D8C119E2F2E0E9BFF050A6B644BDE8DA091892F7E9C7CE6781480692B21F5 |
SSDEEP | 12:4WT0SBbcjLeBkVtQaEq4/dE4va0kpYKMflHqE:bTFBqLSEtQ7XafYKmHT |
TLSH | T1ACF02602E450C5F6F16BAD3662C15942CB100CF9DC2630D976BE477711539ED322F190 |
hashlookup:parent-total | 9 |
hashlookup:trust | 95 |
The searched file hash is included in 9 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 25106 |
MD5 | FFF2FF64791D0E1D6DDC288831CE3A44 |
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 | 7AECB645AB3DC74E2C84A6683205A4463E14D2D3 |
SHA-256 | 0BE6915D52EF4A1D93ED25AAE7FFD670D0CD34F0186EA5CD66F459B54FB57A15 |
Key | Value |
---|---|
FileSize | 24854 |
MD5 | 53F837944AFF716E7773406EC3AA8E51 |
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 | D6EC1ABAC3F6C0E450F9CF455C766DB238AE78DF |
SHA-256 | 3B52D003B96724DECCA76F046781CDED76EF5EFB5CD7907DDB028E5E57E772C1 |
Key | Value |
---|---|
FileSize | 27940 |
MD5 | 268710102DA484C90FEDC79863F2821A |
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 | F83D90AC68AF2D69F985FB7E6564763C97ECB2D1 |
SHA-256 | 57E418AD95BE87680A1EC81A96DF89F9B64B39817FF67308B18EEB3B09554BD1 |
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 | 27618 |
MD5 | CD5303E5A9BA9584E6B0D84A881C127D |
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 | 724D322D3340CCAA25EACC9B614AC544850223E2 |
SHA-256 | 655361AE60510CBBE27C58A639CF0551DFF670BCDEFE60842682DCE3D9FC9E7C |
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 |
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 | 27980 |
MD5 | 97CB1BA1F4C7807F81D4FA5AB4C3A2E2 |
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 | 922559E680CB271D12E4D1D86FF20E374FBA94F3 |
SHA-256 | 03352685C4EC39DD3378E57CA779708866EDE76105847BF0D55790435D20F527 |
Key | Value |
---|---|
FileSize | 27780 |
MD5 | C839194CF30C0270B52FA4FD737BA19D |
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 | 3186133DD82B26562A538D982228ED0E28879C75 |
SHA-256 | 474DEF0A9B87E816FD62ADE9332EDF03A4EBA1400A34EADA6B76D9ABC7E32009 |