Result for 418AF4A5BF186D1C45C3DB73CA89B3D323A66D85

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Children (944)

Query result

Key Value
MD56677E7C097338985E2AC6468B1D36446
PackageArchppc64
PackageDescriptionScikit-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
PackageRelease1.fc23
PackageVersion0.16.1
SHA-1418AF4A5BF186D1C45C3DB73CA89B3D323A66D85
SHA-25635B8D030B2407147C3E789218DB00351EB1EAC7CF8D407C2B267AC5F62A99571
hashlookup:children-total944
hashlookup:trust50

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Children (Total: 944)

The searched file hash includes 944 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/lib64/python3.4/site-packages/sklearn/cluster/hierarchical.py
FileSize40213
MD58445D44F4F9E4D4112DCC21A36D037F7
SHA-1000C3C854269C2922BE1C06595F3E880851D30D3
SHA-256E9F414A812CF50C6FC8061E0C0D971798F41FA8326ABEF670BFE139617C27AB2
SSDEEP768:b6CfhXuUcGwQogk2J3If3V4Spty5kccGwfoPr22J4HDGV4r2o2KKkPkGwkelh7pD:b64eUPzIf3V4Spty5kcP1rqHDGV4r2o2
TLSHT19B03B722660423715B8790924E7F91A7E34044DF9F5320793DAD92686F12B68F2FFBC9
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/lib64/python3.4/site-packages/sklearn/neighbors/nearest_centroid.py
FileSize7219
MD53F05ED5457FCF69C422C4EB5F5D86CA4
SHA-10164D287CCF459DEB314C9B84916163D69BEEE13
SHA-2560A2CAF710C753B10E6D10F95CF1D2E91CD430CCF9CF37EB0B95A300A138040D6
SSDEEP192:zLmCsu7Ej7Mvse9Du2izWTOgxMW2MB7lxXB:/maELeZu2iSO+32MB71
TLSHT1D5E1B5166B061B3AC787C46396CD495BB746863B9364182E3CFD52642F0142CA3FFDD9
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/python3.4/site-packages/sklearn/utils/__pycache__/sparsefuncs.cpython-34.pyc
FileSize10916
MD5D630225B76A3E53699AC4AA83A2B5820
SHA-101AEA09734B2F4B76A858625E09D3BBBD39E9944
SHA-2563EBF396E9A300ACCB140B08179807455066E59A1BF8684858F79B489959E5F31
SSDEEP192:afRYvNChpKSElBF6aaTaE4xBpAgiKC0B+camYYBJgiFGX0rIO:eYFCPAYYrFGEl
TLSHT1DF323F06BE41429FF592F2B154F81722DEB6C07B0B83AB1136EDD0752FC1A66286D75C
Key Value
FileName./usr/lib64/python3.4/site-packages/sklearn/linear_model/tests/test_sgd.py
FileSize44051
MD52A30219204D8A3FDB17710890DF5C022
SHA-1022C4A0D46C8BE6450F86A4F5A534285740DA850
SHA-25680967239521C8F49941B2FE639AAAF0FE5F6BEBFC82FDEBF338E49F746C83D9F
SSDEEP768:gqgGbCeWez6QENuvvCQw0pRHuvt1zvOHy/3M/APJYuzxja2ngbCe+DCihHF02woS:PueWe2zNunCQwIRHulV0j4Z0Ho4ECGFI
TLSHT17213C86501731F275347443A88BB874F6A066E334D85186DB4BD860CAF8A179B3EFDB8
Key Value
FileName./usr/lib64/python3.4/site-packages/sklearn/utils/tests/__pycache__/test_validation.cpython-34.pyo
FileSize10809
MD571EF4E5B7FF5011737EB4826D3F91586
SHA-1025BFC9E116CA1CD96E0BD30062EBFEDA50C0051
SHA-256C8684B0556F4F9E413287F8561EF7297C0CA2F07922CB90C632D5C03BD4F411A
SSDEEP192:yIf/u4zXIOZngBXk8zrECpIWO1RaI7ribPJgclWigq9FfG8i2fz888885:Pf/uktZWXVzlIWERaI3uJggWigqTfG8y
TLSHT19C226094A7C289AFF461F1B6B470571ACEB2F9483F00534456F1E87C6FD0B85AD2B289
Key Value
FileName./usr/lib64/python3.4/site-packages/sklearn/ensemble/__pycache__/weight_boosting.cpython-34.pyo
FileSize35275
MD576E699FD587ED825D8031CB72750EB1D
SHA-1029DC3488177B2F240B153023CCF27218B93259F
SHA-256FACC08144EA28D958694809648963082B65A49E9374346D9C35F3F55C576EED3
SSDEEP768:y42LHL12jXETGePgfulBG1VWeb/ePnu2oWoIZR1j4y12Zn7vn8XP0w6cvZoqg:N2zh2jXEaePgf0G10eb/ePVTZ78ysn7J
TLSHT19AF2A515BE4012BBF453F6BA50F8019ADF36985B9785532139EED5342FD0A20A6BF3C4
Key Value
FileName./usr/share/doc/python-sklearn-doc/stable/_downloads/plot_cv_diabetes.py
FileSize2527
MD5E72038F327EB1E9BE42A89248FDADDEA
SHA-102B9832007B41F9CEDC0ADF47E8E74156A7D2F20
SHA-2565C3E8CB59B8C3592B195A2372E1213A62FD9B27EB7664E8C51CF116BE2953E78
SSDEEP48:8RSBEU7vtHh44QdkCq1axlZFkmoKCQv73ZIpMm0MNLp:8KLQyCqk7kmzCQTXhMj
TLSHT1C751740DF1436B711F4A10F4B58990A03BA2927A6D1B7935786DCB5C9786FF20B324BA





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