Result for BA9E1CFDF19A6783B0B93CE48A0BBED51B38BA93

Query result

Key Value
MD5C2EB81F2F4FFA86579390FF7D437AA58
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
PackageRelease2.fc32
PackageVersion0.22.1
SHA-1BA9E1CFDF19A6783B0B93CE48A0BBED51B38BA93
SHA-2567A4C5A99C3F3A2C76FB29E124FD5EF82089431B2B87A35FDA68EA979EB04C90F
hashlookup:children-total1835
hashlookup:trust50

Network graph view

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/python3.6/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/utils/_openmp_helpers.cpython-38-aarch64-linux-gnu.so
FileSize71704
MD50F638B76A12D0FFF7FDD176BDBF59E00
SHA-100B22C61825B0EE2356999D75F28EB30D1843613
SHA-256FFD3032F153E1D629828FC87E2DF6F47C422D2610946B9D4EADC82F53E2BC721
SSDEEP1536:+Re0L6xo/ulMzS4W9zC5Qn2tDCJQNERIfajy2/3jA:+l83jA
TLSHT1B663072CFA0EDA3BC50657340B9A4530B773AA5913A9B3C3361CC69B2FCA58A0D7754C
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
Key Value
FileName./usr/lib64/python3.8/site-packages/sklearn/ensemble/tests/__pycache__/test_iforest.cpython-38.opt-1.pyc
FileSize8653
MD50A41D81D5AFD71597D04AE7E20039ECA
SHA-1010B949C644FCD61F9AF12720C1AB8FF4783E9ED
SHA-256F3A84B3D81CE3A5B7203AA5BE30D9F586D570842D92B92F2B26993AF1F9DDC79
SSDEEP192:DM3vNEdr+z1sZGgfSAA/GRQRgs6l5s66hXCp7TDY4bX+EDlu3f:D84As+AA/GCRp6l5sbRI7TDYcXuv
TLSHT10902D59818425EE2F9B3F3F914A9130457B2E31A264E7627BD13E56E1A08EC41DB77C8