Result for DB0E60B1636CCF1DA08F6DE62C04A2C4A85E16F9

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Children (1835)

Query result

Key Value
MD561A52FA64006DA080E9B8D3F952C4E81
PackageArchx86_64
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
PackageRelease2.fc32
PackageVersion0.22.1
SHA-1DB0E60B1636CCF1DA08F6DE62C04A2C4A85E16F9
SHA-256C10285BEAA8944C8F698E3BF9CAB30FCA5E17FD8898D0975C14B9014EF02B418
hashlookup:children-total1835
hashlookup:trust50

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Children (Total: 1835)

The searched file hash includes 1835 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/share/doc/python-sklearn-doc/examples/svm/plot_svm_margin.py
FileSize2540
MD520F0800268AA3B127A61866BEB151FF0
SHA-1001C2B7EF85E6BFACF735090F2C5E656263B182A
SHA-256800978E1EF0A17DAE6DEA3ECAB717245DEA9CDBA8F649D4E4A2877352DB3E680
SSDEEP48:CdEGkJVbTOXwNUh6EPXu6HSghmkhslNMftKVGbioWGF:CvQcX186HIkh6Sms
TLSHT140517401364C73B09B4381983DE7ADB57761A17F5D80282FB1AD6244CF18BAAD739D8A
Key Value
FileName./usr/share/doc/python-sklearn-doc/examples/applications/plot_species_distribution_modeling.py
FileSize7970
MD546FB3C87E92A0D145492F244860459FD
SHA-1005689838EAB53866B9804164514E5CC80C8E08D
SHA-256A34FA8826C4DE8FA6B695DC1AE85FA4F4EE0B4D12062B4CEF9EF213479E14DD9
SSDEEP192:ooYmsjw0Kq7Ib808OR2eo+1MWKI1SPPcTzcHF6eVIQ2:4nxh02eo+1tSPMz66eVIQ2
TLSHT1DFF10A27BB453769B74380ACAF9D14C3B737891F99903468B76C80802F1D338EA3EA55
Key Value
FileName./usr/lib64/python3.8/site-packages/sklearn/tree/__pycache__/tree.cpython-38.pyc
FileSize605
MD5FB97857956DAC83F5F6A533425343A84
SHA-1005E4C7EFC58B6BAEE9E8D9080243055C20ED283
SHA-256E1184AFFFF74B3CAE7BF64FEDA0DC7D62657FA95EFAEC4FB500AF86D58E2D5A7
SSDEEP12:cAK2ZILsS/jJ5lobjTlnHA20UiDP5yroqQBlk6MRcsc3VDn:c6Wsg3AjTlnwUiDxa0a6Aqh
TLSHT131F0E192070A3731DD627AF821124A3453F14E77F7488B0B2F0C9D0F68062E51508EED
Key Value
FileName./usr/lib64/python3.8/site-packages/sklearn/manifold/_utils.cpython-38-x86_64-linux-gnu.so
FileSize60208
MD5AA0614FF530CFDDFB19A1B7DD14998EE
SHA-1005F505150C44246C9A5679C18705B45B82E9E2C
SHA-256889B87B29E23A25E5B695C5AEF3FD9BC9A7C2324259B4C607C93836C27D7F606
SSDEEP768:A5qc2OGJxZBpR5hJxZBpR5hJxZBpR5hJxZBpR5hcEsU8kM0cEsU8kM0cEsU8kM0B:AoUC8nmb6i/x73tj
TLSHT155433B17B0558D3DC0A4E031CBCB8113A525FCE462343D5F3A9976762FE67A0AA3AE4D
Key Value
FileName./usr/lib64/python3.6/site-packages/sklearn/utils/__init__.py
FileSize40467
MD5915ADC15DFE20A236464623D7A80C080
SHA-1007A977776B5CB521A64A5039647BCC0C2604356
SHA-2563495791DB34C1FA6B4DD5F1BE1866BCC84E3D1740E4BC6B9C1F5F64DD69D529F
SSDEEP768:wJcWQqBqmcDA7AIhgDTGHeBvdaDn8or3Mb49Ad55pb3PbzNB:fk7AIhgfGH8vdaDn8ow8Od55pTb
TLSHT14503D413AD451A3E4A93D4F22CDE8412D725A43B878458383CED96383F5693693FE3AD
tar:gnamerbarak
tar:unamerbarak
Key Value
FileName./usr/lib64/python3.8/site-packages/sklearn/linear_model/tests/__pycache__/test_ridge.cpython-38.pyc
FileSize31514
MD5CA2B1CCB658050E356B913C486631261
SHA-1007D9673AB515F50E6467E0DBB3EC88830254244
SHA-2561629A61E5A2E2499055D4064AB155DEB2248FBAB688C618C27D1F3976D31388A
SSDEEP768:LIOMAJqEly71/NwE/9Lyr31xqwHXwV1KWDciO3nZhraKT:IAJBy71/NwE/Jyr31xk8thr5
TLSHT166E2FBB4B0B76E56FD72F1FC217605109D19E38DA3C6B623F830E31E7DA50892D26668
Key Value
FileName./usr/lib64/python3.8/site-packages/sklearn/tests/__pycache__/test_init.cpython-38.opt-1.pyc
FileSize437
MD568CE795FC3B9DD5A22D30D10B93B6D02
SHA-1007E6BE6A9F1839B11410C5BE9C782197B7A1A55
SHA-256D5CEB972490B7130588B00A6BA8AA37836F8264ABAB0BD5556FCC929E62581D1
SSDEEP12:cL2EIs49J914U8LC3Eb8GnkJw9iDzoh5J1juGcrts96:cC049iFF3kJw9iDzozCN7
TLSHT10CE061D3CDD11B83E135F5FDA059513F50E846F1AB9DD1734D0CA6675D441A006A3904
Key Value
FileName./usr/lib64/python3.8/site-packages/sklearn/ensemble/_hist_gradient_boosting/tests/__pycache__/test_predictor.cpython-38.pyc
FileSize2303
MD5EAE848FDF02D1B80B0EF05CFB5A5059A
SHA-100ABE4925CFCFEEEBEF19AC7322CEB00A24A1687
SHA-2567081CC706BEA6F1FECB886E93E5A7A614ABFBE1F8C562415620FFD690A6E4993
SSDEEP48:ERLfqPoDs5g1m8yJB/eH0JWz2CCMB/lD95o4ikH4skvmW7oMhRG1Xts5JK:ERLfqPGm98yJBWZXRlDHqkYt7oMhRG1l
TLSHT1504163C53453BB2AF4A9E17DC479800D66B0EFDC5AC5ED975F84F12B9E2860C620B14E
Key Value
FileName./usr/lib64/python3.8/site-packages/sklearn/decomposition/__pycache__/setup.cpython-38.pyc
FileSize848
MD528F77931FF9E8B3E63C0686A0250EAA0
SHA-100C956B39A5C58E494796C13D904DD071ACA6100
SHA-25646505261EF0B14DF8B596191FF7E0EC98A751EAA5BEA295FDABBDC0B9C594476
SSDEEP24:ctq7SXOkCXqCpCU/uHiIwOpPniDnmXJLJ0/0iM7wiM0Tk:UqIwOpPnMmXJ9U0B7wB8k
TLSHT11F01C58088172AC2DD295338C1A90938047416666F717B0D8FD5328FACE93FD8F93D4C
Key Value
FileName./usr/lib/python3/dist-packages/sklearn/metrics/_scorer.py
FileSize29414
MD545D67D6CCFAF7D02DBED36011AE86551
SHA-100E9E496C7C5B64D08DA721F5B6E282C25215F29
SHA-2569110309212C69C5D7B056F20A4D2058409AD03C161CDD030EE1BE0A1C54BC524
SSDEEP384:Buj9Gx+yWwoNUwOX6iV0fbN66k3BYQExv5dAaoTbWP:BWGx+yWBGv7cc/3BYQHav
TLSHT1ECD2A529FD1B75218B27D8BDB8DBD016A304997B4A502864FCCDC62C1F0595E83FAADC
tar:gnamerbarak
tar:unamerbarak





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