| Key | Value |
|---|---|
| FileName | ./usr/share/pyshared/sklearn/feature_extraction/tests/test_image.py |
| FileSize | 10177 |
| MD5 | 27CF190A976A168FDF1107F6C167D6A3 |
| SHA-1 | 066774DDCF0757824DF9C8C97F0C6E19FA56F175 |
| SHA-256 | F334C9ACBC988D5E651C5AD591AFC37E3A66D1966E29DFA8552D8EFD4D3CB20E |
| SSDEEP | 192:VXDIlwp8W2HvPqV8gl2lMl4lBrQlhQl1lQxRxlgl/vrbCy/zszjRr:dDIip8W2n+QuCLrQ/QnKxRxOdTYzjB |
| TLSH | T1342252FA18ED607AF28360CAC39FDC0A51179B6B5B6341557EAD0510AF4C568C2B2EFC |
| hashlookup:parent-total | 10 |
| hashlookup:trust | 100 |
The searched file hash is included in 10 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| FileSize | 909570 |
| MD5 | B201A8E825E4A8ED75CF75445598097A |
| PackageDescription | Python modules for machine learning and data mining scikit-learn is a collection of Python modules relevant to machine/statistical learning and data mining. Non-exhaustive list of included functionality: - Gaussian Mixture Models - Manifold learning - kNN - SVM (via LIBSVM) |
| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
| PackageName | python-sklearn |
| PackageSection | python |
| PackageVersion | 0.14.1-2 |
| SHA-1 | 5BECCC51292AA5E2BFCB664FC1E51D6993B53209 |
| SHA-256 | EDA0E1A9FE01E521A8C706C625CE082F0D63B92216F0F9A8A25ACFE23A079AFB |
| Key | Value |
|---|---|
| FileSize | 934004 |
| MD5 | 7801A9F64B657F90DAA4C6CFDACE2903 |
| PackageDescription | Python modules for machine learning and data mining scikit-learn is a collection of Python modules relevant to machine/statistical learning and data mining. Non-exhaustive list of included functionality: - Gaussian Mixture Models - Manifold learning - kNN - SVM (via LIBSVM) |
| PackageMaintainer | NeuroDebian Team <team@neuro.debian.net> |
| PackageName | python-sklearn |
| PackageSection | python |
| PackageVersion | 0.14.1-3 |
| SHA-1 | 13F966DEE0A975F7A25B910D03BA7AD754F9804A |
| SHA-256 | 0E39537E14F52DA9D534835DA3673B2ED5B712F6791C94BC365CB9236AF17E62 |
| Key | Value |
|---|---|
| MD5 | 1FD1DE5E580AF24AE54C4277A040DED4 |
| PackageArch | ppc |
| PackageDescription | Scikit-learn integrates machine learning algorithms in the tightly-knit scientific Python world, building upon numpy, scipy, and matplotlib. As a machine-learning module, it provides versatile tools for data mining and analysis in any field of science and engineering. It strives to be simple and efficient, accessible to everybody, and reusable in various contexts. |
| PackageMaintainer | Fedora Project |
| PackageName | python-scikit-learn |
| PackageRelease | 3.fc20 |
| PackageVersion | 0.14.1 |
| SHA-1 | EAD4EA1615DA0A87F1AFA8696B3E8010F934DCC8 |
| SHA-256 | 5E29271489BAE4D4A254B276427C8902D05CC838070D4A403FE1DB3BA5DB4910 |
| Key | Value |
|---|---|
| MD5 | 7CFEEC4C24C01483E892298BFA5817D3 |
| PackageArch | ppc |
| PackageDescription | Scikit-learn integrates machine learning algorithms in the tightly-knit scientific Python world, building upon numpy, scipy, and matplotlib. As a machine-learning module, it provides versatile tools for data mining and analysis in any field of science and engineering. It strives to be simple and efficient, accessible to everybody, and reusable in various contexts. |
| PackageMaintainer | Fedora Project |
| PackageName | python3-scikit-learn |
| PackageRelease | 3.fc20 |
| PackageVersion | 0.14.1 |
| SHA-1 | D485DF7805397141626C57B45FA87B307DED3B19 |
| SHA-256 | E77BC6E49AE458FE84B1826BC4E3BCB5103DFA740B2FA78B6FD8A8E53605F702 |
| Key | Value |
|---|---|
| MD5 | 909F587FEC3FD02B356EF44070ED72BD |
| PackageArch | s390 |
| PackageDescription | Scikit-learn integrates machine learning algorithms in the tightly-knit scientific Python world, building upon numpy, scipy, and matplotlib. As a machine-learning module, it provides versatile tools for data mining and analysis in any field of science and engineering. It strives to be simple and efficient, accessible to everybody, and reusable in various contexts. |
| PackageMaintainer | Fedora Project |
| PackageName | python-scikit-learn |
| PackageRelease | 3.fc20 |
| PackageVersion | 0.14.1 |
| SHA-1 | F8719B4FACE61FACAB36FC9BA6F596AAD1298B07 |
| SHA-256 | 2292809F7EF68B3A84AE9A620ADDEC44404DF88E7F56A1215347C695E94D1273 |
| Key | Value |
|---|---|
| MD5 | B058CF21FF7DFBC1090BF9DE68B5141F |
| PackageArch | ppc64 |
| PackageDescription | Scikit-learn integrates machine learning algorithms in the tightly-knit scientific Python world, building upon numpy, scipy, and matplotlib. As a machine-learning module, it provides versatile tools for data mining and analysis in any field of science and engineering. It strives to be simple and efficient, accessible to everybody, and reusable in various contexts. |
| PackageMaintainer | Fedora Project |
| PackageName | python3-scikit-learn |
| PackageRelease | 3.fc20 |
| PackageVersion | 0.14.1 |
| SHA-1 | E9541EE53FBA0B038553927C6A7419A80E98B603 |
| SHA-256 | 237BC029521C16263D804D4BA09E77C4F440DB2B5CE79159BE1753695F96DF61 |
| Key | Value |
|---|---|
| MD5 | 1D0C6AB50EBD1BF6667D3261B5645A4E |
| PackageArch | ppc64 |
| PackageDescription | Scikit-learn integrates machine learning algorithms in the tightly-knit scientific Python world, building upon numpy, scipy, and matplotlib. As a machine-learning module, it provides versatile tools for data mining and analysis in any field of science and engineering. It strives to be simple and efficient, accessible to everybody, and reusable in various contexts. |
| PackageMaintainer | Fedora Project |
| PackageName | python-scikit-learn |
| PackageRelease | 3.fc20 |
| PackageVersion | 0.14.1 |
| SHA-1 | 0169901D8BFCBF3C6BF66F677D486CB311B6F443 |
| SHA-256 | 965CEC779FC6E5074A2AC7165B26BA28D0778BD2CB53441F1380C3C8BD0B169B |
| Key | Value |
|---|---|
| MD5 | 932CD6AA143AE2FF89D2507DC3603935 |
| PackageArch | s390x |
| PackageDescription | Scikit-learn integrates machine learning algorithms in the tightly-knit scientific Python world, building upon numpy, scipy, and matplotlib. As a machine-learning module, it provides versatile tools for data mining and analysis in any field of science and engineering. It strives to be simple and efficient, accessible to everybody, and reusable in various contexts. |
| PackageMaintainer | Fedora Project |
| PackageName | python3-scikit-learn |
| PackageRelease | 3.fc20 |
| PackageVersion | 0.14.1 |
| SHA-1 | 58E6F1B10A611F5B0EF67712695683A7ABD1BC42 |
| SHA-256 | 4DB274DD81BAE75DEC07B73240D2173A0122B96FB0B000A4A8F076BEF308C6F4 |
| Key | Value |
|---|---|
| MD5 | 0B5B19D9ADFC87C2B935B888AECEA5A7 |
| PackageArch | s390x |
| PackageDescription | Scikit-learn integrates machine learning algorithms in the tightly-knit scientific Python world, building upon numpy, scipy, and matplotlib. As a machine-learning module, it provides versatile tools for data mining and analysis in any field of science and engineering. It strives to be simple and efficient, accessible to everybody, and reusable in various contexts. |
| PackageMaintainer | Fedora Project |
| PackageName | python-scikit-learn |
| PackageRelease | 3.fc20 |
| PackageVersion | 0.14.1 |
| SHA-1 | FADF2C294EDD6D3D16374617A9DA1CD8A4DBA9F4 |
| SHA-256 | E15C9C9E57B5AA8607BE3DA4C6AA16C5F61E8CA7B5B1C3F78AB81819AEB039A5 |
| Key | Value |
|---|---|
| MD5 | 9025232E3D4D5FB9A692C4643ABA8CCE |
| PackageArch | s390 |
| PackageDescription | Scikit-learn integrates machine learning algorithms in the tightly-knit scientific Python world, building upon numpy, scipy, and matplotlib. As a machine-learning module, it provides versatile tools for data mining and analysis in any field of science and engineering. It strives to be simple and efficient, accessible to everybody, and reusable in various contexts. |
| PackageMaintainer | Fedora Project |
| PackageName | python3-scikit-learn |
| PackageRelease | 3.fc20 |
| PackageVersion | 0.14.1 |
| SHA-1 | A473E39F4DACBDC9A3DBB3924FC4BE2A9F65D425 |
| SHA-256 | 06B69C7D747F69A643DF19F286CB8DC31AB90F2635E1AABA97C1BF66D579EB95 |