Result for 547DB711D4863545256C4D84E1B956593497B713

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Children (975)

Query result

Key Value
MD5BCF32221C8DD22DF9CFE204375B750A2
PackageArchppc64
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.
PackageMaintainerFedora Project
PackageNamepython3-scikit-learn
PackageRelease4.fc24
PackageVersion0.17.1
SHA-1547DB711D4863545256C4D84E1B956593497B713
SHA-25676E3540F2E6683CF0BC08CBA78A3756E50A04EB5661067EBAA99481A5CAA6759
hashlookup:children-total975
hashlookup:trust50

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Children (Total: 975)

The searched file hash includes 975 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/lib64/python3.5/site-packages/sklearn/svm/__pycache__/__init__.cpython-35.pyc
FileSize619
MD50C5A14B9679AA9899B24067AEFB62CC1
SHA-10021F4E3E7FF7ED6E32AF397EB59C3259D28D5FA
SHA-256E9A4873E235081D0DD42AA53278E5966BDD2FA10A8136571F8941C8148FFC205
SSDEEP12:9zbCGkUWGnpbzU2aFBJZcBFQ/tPfwRKmksTb5MZ9XCm6lOsyrZRSiDUeZ:JCUWuURBJZVNuaKXODlR6A
TLSHT1A1F0A692873A97D0F839FB3A6000911812943597BE2E4603095E0CBA3EE3483058AA4C
Key Value
FileName./usr/lib/python3/dist-packages/sklearn/kernel_approximation.py
FileSize17973
MD52B4730A91CB8ED5575D1EF4A7BE5B252
SHA-10028A347DC05248423B93A39EEF5E0178F8BBCFD
SHA-256F37397D32AA3E5C3C1694E45926566E58A79C9AEE42422CA093480A57798FDDD
SSDEEP384:5Em1dK784+WzgQ4rUtOlgPYY77u7q7EvRdYJ5aKcMatdI0uow3u:5z1dKYhWzLoUtdv40EZdrMatdI0uoku
TLSHT1DC829415BD410A2D23C7C47221FE9643EE691463519610377EAD83982FA3C74F2AEFC5
Key Value
FileName./usr/lib64/python3.5/site-packages/sklearn/linear_model/sgd_fast.cpython-35m-ppc64-linux-gnu.so
FileSize151232
MD596D813C932F11C5C0C18E7BD52917E70
SHA-10066C1172EBD374E3DEDD0102775D6240096D376
SHA-25674EFA3CD960C0352D7820483750792A426B629B8A8F27EDBAB3ED22450529B05
SSDEEP1536:UJjAryZq2V5h3o05BSWTCSRBr+OrIE2Aj5M2Qn0Unynu/de11Y/L+FZJesEy:UJjwyZqO5+03P5+Ormr0UOmqF
TLSHT15DE3F7E27B012E13D9481E79901A3BF4F65D2CA59578E1123A0F1B7B46E3BED198F213
Key Value
FileName./usr/lib64/python3.5/site-packages/sklearn/decomposition/tests/__pycache__/test_sparse_pca.cpython-35.pyc
FileSize5366
MD5ADDBD9654E580328D9728C47035E6D49
SHA-10066D563D4F7C98AF9889C0C64846DEAABF97DE8
SHA-256CC76E37B86EEC4B54915A71475840EDBA44FDAF5065ECDE968B96C2B7A04AC3E
SSDEEP96:68tIy3+0nDCX1irQcCOdBHQOQQJtvlY1u7vCBLdVyFOBGkZcrgp7rkEYhUHSgg6Z:6k3+cUczJVu1uD8KgGhGt7T888w
TLSHT142B1FD91A7C2CE5FF414F2B9A5B847008EB6F84A7F01AB495BF1E4383FE5744A427208
Key Value
FileName./usr/lib/python3/dist-packages/sklearn/utils/sparsetools/_graph_validation.py
FileSize2407
MD56CCA3A2DFA57FF6AF3CF3A27AE22F209
SHA-101070C25205C477A297A7CCE48DA78871F64DD2C
SHA-256298C9425EE8888DD03C6A32021051C1ACE1D8C45775B277F0095589690515DD8
SSDEEP48:PLdf167rziXSwtpF8AyEv9iVfkZY2MiV8K2pq:DL6fep8AJYVfkZLFKtpq
TLSHT1FE41FE25932D0564D16380E48C83A70E1AD8F6073F67242DF4EEBC682F3861C63257BD
Key Value
FileName./usr/share/doc/python-sklearn-doc/stable/_downloads/plot_polynomial_interpolation.py
FileSize1895
MD5A4CC2943F64D2730EF80B9504C583D19
SHA-1011BDEF5443BE65B5EC29C9D37FCEEC7206429FA
SHA-2562B12D9E9919C21B4BFF58007AB9F645B717AE7749E79099AFBB8B253B5A3ABFC
SSDEEP48:3b/2fr4glFa11YCuArC18AlcCxaD+1sozVGsA9MGNr:z0lAO18gcCE+BgPr
TLSHT15541B9092E55E82107364074B6F898616E19046EAE8305663DCDBE301B42B0F3D3BF47
Key Value
FileName./usr/share/doc/python-sklearn-doc/stable/_downloads/plot_swissroll.py
FileSize1446
MD56C764C92907310B7717595E840304798
SHA-10193A74906128D26183FB66001B61CA5D447B865
SHA-2565D7791C51D76DD46308EE5B4B799509831C1EEDC2D767C39B78E7E98A39B066D
SSDEEP24:x2RAnm7PXQ2KQsFe3M/MDyC5NJYTC4aeujm5tSU3+LVJU3+PbYY1+BZjs:xEAn12KED3JLe0atSfJNYYqs
TLSHT116313F1C2E07B27697A2F0E83E6417DDEB515A009F2044F8B83D68F45381B7CB82D51B
Key Value
FileName./usr/lib64/python3.5/site-packages/sklearn/decomposition/tests/__pycache__/test_incremental_pca.cpython-35.pyc
FileSize7015
MD58CA6FD7CA60527C74BA0518C37F44ED5
SHA-101E908C72ADDA58651BA7B73E24A8C89963D17B2
SHA-256C589C6FD759CEC1538BB0353604B522F71C6F185BF17498BB30B7E39DE455650
SSDEEP192:8f2NLXNygMQCcPZ3fvxL/KzNH/GYK3NpZ+A+SP7ePaVtu63kH2foaGe2w:NJXNJlCcPZ3fvxL/6NH/GYwNpZ+AZze4
TLSHT1EFE1BE90A7C7DA5BF424F37D94B412199EB6F66A6F0067045BF1E03D3AD4B50682B38C
Key Value
FileName./usr/lib64/python3.5/site-packages/sklearn/utils/_random.cpython-35m-ppc64-linux-gnu.so
FileSize142736
MD5A7FA89E229900D8509BED340CEAB3C81
SHA-102152EF679918796A23E82A70BE25BD52A872E40
SHA-256F13300F81A3F15389CBCCCEB9D6C3F7913BFA99A9B0F88AFEA672E2F786F4202
SSDEEP1536:ib/QE95vnfCb7tAHZRzkRMQvNatUDelzF:ibYM5PKvC5ORur
TLSHT1BCD3D5D27F112A13CA586974109B2FF8FA6D38755579D1123E0F1A6B4BE3FE8108F682
Key Value
FileName./usr/lib/python3/dist-packages/sklearn/feature_selection/variance_threshold.py
FileSize2594
MD59062DD0314FFFBFBA3AE6A19467EE813
SHA-1023D35A24900085224860FF4B84E53A8ABF5D2B2
SHA-256DA4F57333555985298D6F7C66232693B1747E60FCEDBA3D38F1F43E12F79C70C
SSDEEP48:u2tg6W0NIaj15Gq/hr0uI1qDEAjKpSTqVKQ2tA2QZQXd:u2m6RNIavn/hr0uDEAjBTqVKLvQaXd
TLSHT1CD51030EEE164F1C6287C2F304CD6843CA5B496F8798683538BE72552F8056612EE6DA





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