Result for 58E6F1B10A611F5B0EF67712695683A7ABD1BC42

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Children (801)

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Key Value
MD5932CD6AA143AE2FF89D2507DC3603935
PackageArchs390x
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-158E6F1B10A611F5B0EF67712695683A7ABD1BC42
SHA-2564DB274DD81BAE75DEC07B73240D2173A0122B96FB0B000A4A8F076BEF308C6F4
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/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/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/utils/tests/__pycache__/test_graph.cpython-33.pyo
FileSize1223
MD5B8CA513E78BFA840F21CD034DF32CC22
SHA-101827C62734E0BB415BD52A8B98C62F7E9362FED
SHA-2563C3350889B8CD43E24B70E7F9410F5C6140EB08947C5860747F8A6CAEE011509
SSDEEP24:4UArIqJEVsSKjq5VV5Neq6HbJup9pKeauseGiMGJniP8tluLWvlxzef8iPJzen:2rTiKSKQVjNeq6NEcea7ecP8XyWv+f/4
TLSHT1C121FE859BFFC2D7D37402B5A5311302CD66E9DBA902EB2246B0303C3EC4B720E5D854
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/share/doc/python3-scikit-learn/examples/ensemble/plot_adaboost_multiclass.py
FileSize3585
MD534017803563CB9F9B635C002523C75AB
SHA-10322042E7BF79C438AD29D097C0E77A689587F33
SHA-25650E1E9107975866013E5FFB4FA9033867E9BB126CC32959A3E9CC4E3E4204164
SSDEEP96:ir9H8frWUXgINfBhroMYbPXwW/K/oKR6m257TwDLj5dlTn2093:DC3iXR6mp1N
TLSHT1F07193258A666A3187B96CFECCAC526D3360144C9D22D009B5FD8F300F0BF19ECBA2D4
Key Value
FileName./usr/share/pyshared/sklearn/cluster/spectral.py
FileSize19089
MD57F39F2175913371EB02C1FC7AD23163A
SHA-103C4601BEAD359C5B92ED2D0FA173AB399D8C9FE
SHA-256E4FAABA262F99730C34B8078D83DACC8BF18776F391D8A9657004B8524E70BE8
SSDEEP384:M+X/Q0+fEqCC56so+IRrREezf61red3/YV7i/aD6VHnNW5ajWlFYV7wJC1S/a703:M+X/Q0kEqCC56soTPloret/WW/aD6741
TLSHT17582D739394262379C87E09289FE20A68364058F8F537455B99DC6281F13E7873BEFD5
Key Value
FileNamesnap-hashlookup-import/lib/python3.5/site-packages/sklearn/datasets/data/boston_house_prices.csv
FileSize34741
MD54F2F20AB8094D40E043FB575CFF5DCEB
SHA-103C8B6B944A81D2615514F6C098B14F6C59BEEDE
SHA-2567796A48B7B1A203EB4BCC180097289A496EE5B1F0018A935192AFD1AFAEECA8E
SHA-512BAD6C81AB5C8D6591F5F999246E760461B87BBE5E1C3EDACC41177C8F72D1084F28732230028FD7B81D36B21825BDD6F3A25B149022A58CDAC3337E77155D3F2
SSDEEP768:YOA878aSaM73XCaoKTxCDNOZpc76onXMwQjHl6eov:484aqSaoKTxCDNOZu7VR
TLSHT14EF2A676137B16CCF2408A1C9622394126F1ED2E7834E6889F4B946EE81DCF79574EB3
insert-timestamp1721655505.5531995
mimetypeapplication/csv
sourcesnap:UXtarunTOMdX6KuVJXcYFrsrsojJ3LH0_3
Key Value
FileName./usr/lib64/python3.3/site-packages/sklearn/__pycache__/cross_validation.cpython-33.pyo
FileSize60432
MD5EEC1174C0CB8E855AEC5DF0020D2A390
SHA-103CFF27DB59232AFD5DFC7EBADA46D0B69F6439B
SHA-25621A425823AF967013B2B70B4E5AD4EBD24E4CEBD92E4EAB9AEE8C58F0182A6CA
SSDEEP1536:MoznLlXLIhRlmxMPDC2sxE0P5E2LUUiujqghjVV2dOGLLBXdFCx2DJXQdAliiP1:MQLhycLxr5XqhLLJ/Cx2DFQ0z1
TLSHT1B543E781E76E06E6C6A50BB024B48251CFB2F93B5A402B1176ADE47C3F85A33177F395





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