Result for E9541EE53FBA0B038553927C6A7419A80E98B603

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Children (801)

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Key Value
MD5B058CF21FF7DFBC1090BF9DE68B5141F
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
PackageRelease3.fc20
PackageVersion0.14.1
SHA-1E9541EE53FBA0B038553927C6A7419A80E98B603
SHA-256237BC029521C16263D804D4BA09E77C4F440DB2B5CE79159BE1753695F96DF61
hashlookup:children-total801
hashlookup:trust50

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Children (Total: 801)

The searched file hash includes 801 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/lib64/python3.3/site-packages/sklearn/linear_model/tests/__pycache__/test_omp.cpython-33.pyo
FileSize12514
MD5955D686F7374105B3EE0617CA75C052A
SHA-10011A6D3ACE6ED743EEFE19B79F339FF99DA8B11
SHA-256260CC3A7E62250715E39A92D6823F7B1C5020CB33FB55EF9DC132FB762CC1589
SSDEEP192:fJXxTW91scSZ60nvcZDmPgJQou8qqpW2eb22q28j5Wuf+7uPMzLmMQzP2ni9897+:fJJRgJZUs21ocOquj7l9PJXyK88b
TLSHT160424190A7FF8DDBC17806397938530AEDD2FDE76A057B0001A5E1AC3BC8337194A689
Key Value
FileName./usr/share/doc/python-sklearn-doc/examples/linear_model/plot_ols_ridge_variance.py
FileSize2032
MD544A08C8EAB78FA8522617D143280CE43
SHA-1002D35237E1045669AE711D219C5C7E2C828DF64
SHA-256DF23A76B9DA4857633A934C3CDEAC1FB3F1C3C0BFA5266F2CF148F22CC3F7240
SSDEEP48:4YOa+3VOPSAN5mAOxGwq0JcrsyPAhpa2b7TyJANfeK6AK/l:4YOTlvsmAOxGwvJdyP7ifmWeK6Ail
TLSHT15841861B62861B73A337942DBDB9329C7351409F79427CA57BFC61085F8172C0EB94B5
Key Value
FileName./usr/lib64/python3.3/site-packages/sklearn/ensemble/__pycache__/base.cpython-33.pyo
FileSize3679
MD57049D2023DBDD34318114FA7834367E5
SHA-10048060EEBC2739C9676F079D9B2EE400484DE80
SHA-256A2DE459E77D96F34489C1B09BDFBDF3A00745C348203852B6E510BCE57854742
SSDEEP96:Kx5UlEIfcCB+kTh84TewpwC/XWB1+AJnihJnD86W8EhhpxJiLyYaclVwKrJZjlug:KvIfcCorGeh3Lw97xwgOef
TLSHT14E710046927CB3D7CDA43B708C2421908F52B9AF22182A82305CEB9F3F9A975177B745
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/examples/exercises/plot_iris_exercise.py
FileSize1577
MD53CEE1240FBA2960897069B76B5637772
SHA-10116272B06B5037C5FC6E48E289CAD5FC1E6CC61
SHA-256BE809F9603D572D38F9B2B5C30FDDBC3865711F28480FD46C2EDFED3DB78BC83
SSDEEP24:/AX9SV6wq4Vxknvg059WbkKX52BrpH2sCU5tkLtmGvItyG4bxpZNbH/D:IXcVVVqrKX5m8lMtggGPbxfNz/D
TLSHT1F031201A904E337213C790BD82EB29846B5366234B44687A777DB7D1DF02764F239942
Key Value
FileName./usr/lib64/python3.3/site-packages/sklearn/neighbors/typedefs.cpython-33m.so
FileSize70544
MD562CB4248F1D62C0B39D30FC94BB3E6BB
SHA-101E1695AF1F874BECB84E658D55EEBF1D3FF7C64
SHA-25642B373DC19EF7A9F2A4773F286D6C934FDE1ADE8A0150E0A859751DDA3D6A83D
SSDEEP192:G8pDPpRIxEVOxo7BJ175vqmR0Ycaa+iOPdxdKrDJHdkqOEXd8oCrAZsiuc:PYq4oFJ1lVa/kPHdKrDROEXCMdu
TLSHT18863B7DBB740189BE66C2B7002592BF4F72C7D74C7615303BA0E16772AE3EA81949783
Key Value
FileName./usr/share/doc/python-sklearn-doc/examples/plot_rfe_digits.py
FileSize852
MD59103650C2F36397AB88DF835B34D38B5
SHA-102C0A867F5D8E9C34607BCE93EF5ABF7C6F495A9
SHA-2569F282DADA6645094618C0A5BFA1913CC17F1384A2BBEC0B7B7783AB89CBE9928
SSDEEP12:ilgJr4Y/8OREMeyAMyfbyvmvA9NZfXALqSkAVL/KO5Oe4N6sYD:iqh4E8HyLyTyOEfXALCAVIGh
TLSHT141011E5D5220B7771DB758B582F5809319F20D3A2341622015A8CA658B82BB6FFF7A43
Key Value
FileName./usr/share/doc/python-sklearn-doc/examples/plot_kernel_approximation.py
FileSize7974
MD592E29404D8F074E46F35C40F20766AB8
SHA-102FB35C9AF06F6F6872DFFCAAC0A51570D42B6A2
SHA-256BF5D973C48EC576C568FF9ECFB74EA75395EBF29B4D1C19AB82D210B6A4DDCF4
SSDEEP96:0X75FrUiJKIiRjQBdLdgooMgFYZygEqTgR/KYIOcITTmpsm51iuPztYi:+75FQiti6KYZkR/KYIOcITq1iuhYi
TLSHT17CF1E80B20E30B3223B7207C23DC21C7BFA49056E9975A3DF99D8654379AF21E276649
Key Value
FileName./usr/lib64/python3.3/site-packages/sklearn/__pycache__/grid_search.cpython-33.pyo
FileSize37392
MD55B31BB2470AE42262020CD26D1EC44DD
SHA-10312459AA5B70FFB05AE4CBD4324C227C746E84B
SHA-256E2BB742F373BF2624567A5A14D2E662351F29B659DD4C29B57D308B8E5DFDD2E
SSDEEP768:TgpPdYi68brb0OkPjv1+0UQhjvfU8GD+QcZENIkVaOkxk5NhFsx5N:adYi1brjIjv1yQKDcZEhaOkxk5BsfN
TLSHT1A7F295416B7E13E6C5BA07B064B80160DF22E4B77644264134ECF9692F8FE76A33B749
Key Value
FileName./usr/share/doc/python3-scikit-learn/examples/ensemble/plot_adaboost_multiclass.py
FileSize3585
MD534017803563CB9F9B635C002523C75AB
SHA-10322042E7BF79C438AD29D097C0E77A689587F33
SHA-25650E1E9107975866013E5FFB4FA9033867E9BB126CC32959A3E9CC4E3E4204164
SSDEEP96:ir9H8frWUXgINfBhroMYbPXwW/K/oKR6m257TwDLj5dlTn2093:DC3iXR6mp1N
TLSHT1F07193258A666A3187B96CFECCAC526D3360144C9D22D009B5FD8F300F0BF19ECBA2D4





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