| Key | Value |
|---|---|
| FileName | ./usr/share/licenses/weka-javadoc/COPYING |
| FileSize | 17982 |
| MD5 | A5A5A98237DAF92C8432352B736EF096 |
| SHA-1 | 0C9FFECC0EEEA2CA81FA054E02D44CCC417A5C76 |
| SHA-256 | E36625F0A03794190A734B473AC354CDE0E2275ABB5C30219226D5DB55975CE9 |
| SSDEEP | 384:jEUwi5rRL67cyV12rPd34FomzM2/R+qWS7VUd:j7FCExGFzeqh7VUd |
| TLSH | T1B382A42E770503F205C302A16A4F68DFA32AD4B9723E11542869C15E236FE35C3BFA99 |
| hashlookup:parent-total | 4 |
| hashlookup:trust | 70 |
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 |
|---|---|
| MD5 | 72CE6BC20055517C2282BC964D62A559 |
| PackageArch | noarch |
| PackageDescription | This package contains the API documentation for weka. |
| PackageMaintainer | Fedora Project |
| PackageName | weka-javadoc |
| PackageRelease | 2.fc24 |
| PackageVersion | 3.6.13 |
| SHA-1 | A5C310854E0A8A3C2EFEBD1979406E2BD1FEA846 |
| SHA-256 | 9AD3A551BB76D6056237B56992AE89D7623892EE4CEFC056C2516A117C4EA6FC |
| Key | Value |
|---|---|
| MD5 | EA74E950EC5AA4A7ED2034FDA6C84F78 |
| PackageArch | noarch |
| PackageDescription | Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a data-set 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 | 2.fc24 |
| PackageVersion | 3.6.13 |
| SHA-1 | 59DABF4634BC1455F0829472D885642D723CB691 |
| SHA-256 | 43E9B28D52B8E0FDA22EB4285AAD30FB1B571878FF6E71B0661FD2559796AE3A |
| Key | Value |
|---|---|
| MD5 | 088A9C8A21CBCFE1BC650F5BFECFBA98 |
| PackageArch | noarch |
| PackageDescription | This package contains the API documentation for weka. |
| PackageMaintainer | Fedora Project |
| PackageName | weka-javadoc |
| PackageRelease | 2.fc24 |
| PackageVersion | 3.6.13 |
| SHA-1 | 12A12B88DD068A6D05ADF2A94F5923129473BCEE |
| SHA-256 | D7784112A29493C49EAD1375D4DC637402F620F59151343C621ACA02DBB0882E |
| Key | Value |
|---|---|
| MD5 | 8D60C7723EDE350E152877581A1947F0 |
| PackageArch | noarch |
| PackageDescription | Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a data-set 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 | 2.fc24 |
| PackageVersion | 3.6.13 |
| SHA-1 | DAA2D46E065CE230E1C485F9784F098F3569C010 |
| SHA-256 | 901DA0DF8A4EDAD93E9C0E8A28C9A13591679F6340FF8CF2AFC7385C5203B86D |