Result for 5513BD93A3C3B030CC6500A683EF48326EB21E74

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Children (975)

Query result

Key Value
MD50C4F32374415CCDA8D571AA31F3D20B1
PackageArchaarch64
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-15513BD93A3C3B030CC6500A683EF48326EB21E74
SHA-25613F962CFADEE43B02880D50748E7A8B387D2C1BC7A41D66A0C868B48D85D09C4
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/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/lib/python3/dist-packages/sklearn/feature_selection/variance_threshold.py
FileSize2594
MD59062DD0314FFFBFBA3AE6A19467EE813
SHA-1023D35A24900085224860FF4B84E53A8ABF5D2B2
SHA-256DA4F57333555985298D6F7C66232693B1747E60FCEDBA3D38F1F43E12F79C70C
SSDEEP48:u2tg6W0NIaj15Gq/hr0uI1qDEAjKpSTqVKQ2tA2QZQXd:u2m6RNIavn/hr0uDEAjBTqVKLvQaXd
TLSHT1CD51030EEE164F1C6287C2F304CD6843CA5B496F8798683538BE72552F8056612EE6DA
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
Key Value
FileName./usr/lib64/python3.5/site-packages/sklearn/metrics/tests/__pycache__/test_regression.cpython-35.pyc
FileSize5017
MD5486C7671A0DC33502DF6E772DA8ABB93
SHA-102E2341C9E78614D2DF6FE16E4D7EC87E350E23B
SHA-2562D5F81A29A1D23024AA2853170E27EAA6DB5AD30CF493358E59F70494CC7E73F
SSDEEP96:3SFuH60bPqEeHMWVTgYGEKMjAnYKQurK88VCf7nBdwNyC9W18S8U:C0bPqEesWVcYG71niVg0X+8S8U
TLSHT1FCA1765393848D9EF429F1B8F4361302DEE6F018BF547B404B27E57E6BC5B851C1A28A





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