Key | Value |
---|---|
MD5 | C2EB81F2F4FFA86579390FF7D437AA58 |
PackageArch | aarch64 |
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. |
PackageMaintainer | Fedora Project |
PackageName | python3-scikit-learn |
PackageRelease | 2.fc32 |
PackageVersion | 0.22.1 |
SHA-1 | BA9E1CFDF19A6783B0B93CE48A0BBED51B38BA93 |
SHA-256 | 7A4C5A99C3F3A2C76FB29E124FD5EF82089431B2B87A35FDA68EA979EB04C90F |
hashlookup:children-total | 1835 |
hashlookup:trust | 50 |
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 |
FileSize | 2540 |
MD5 | 20F0800268AA3B127A61866BEB151FF0 |
SHA-1 | 001C2B7EF85E6BFACF735090F2C5E656263B182A |
SHA-256 | 800978E1EF0A17DAE6DEA3ECAB717245DEA9CDBA8F649D4E4A2877352DB3E680 |
SSDEEP | 48:CdEGkJVbTOXwNUh6EPXu6HSghmkhslNMftKVGbioWGF:CvQcX186HIkh6Sms |
TLSH | T140517401364C73B09B4381983DE7ADB57761A17F5D80282FB1AD6244CF18BAAD739D8A |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/examples/applications/plot_species_distribution_modeling.py |
FileSize | 7970 |
MD5 | 46FB3C87E92A0D145492F244860459FD |
SHA-1 | 005689838EAB53866B9804164514E5CC80C8E08D |
SHA-256 | A34FA8826C4DE8FA6B695DC1AE85FA4F4EE0B4D12062B4CEF9EF213479E14DD9 |
SSDEEP | 192:ooYmsjw0Kq7Ib808OR2eo+1MWKI1SPPcTzcHF6eVIQ2:4nxh02eo+1tSPMz66eVIQ2 |
TLSH | T1DFF10A27BB453769B74380ACAF9D14C3B737891F99903468B76C80802F1D338EA3EA55 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/sklearn/utils/__init__.py |
FileSize | 40467 |
MD5 | 915ADC15DFE20A236464623D7A80C080 |
SHA-1 | 007A977776B5CB521A64A5039647BCC0C2604356 |
SHA-256 | 3495791DB34C1FA6B4DD5F1BE1866BCC84E3D1740E4BC6B9C1F5F64DD69D529F |
SSDEEP | 768:wJcWQqBqmcDA7AIhgDTGHeBvdaDn8or3Mb49Ad55pb3PbzNB:fk7AIhgfGH8vdaDn8ow8Od55pTb |
TLSH | T14503D413AD451A3E4A93D4F22CDE8412D725A43B878458383CED96383F5693693FE3AD |
tar:gname | rbarak |
tar:uname | rbarak |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.8/site-packages/sklearn/linear_model/tests/__pycache__/test_ridge.cpython-38.pyc |
FileSize | 31514 |
MD5 | CA2B1CCB658050E356B913C486631261 |
SHA-1 | 007D9673AB515F50E6467E0DBB3EC88830254244 |
SHA-256 | 1629A61E5A2E2499055D4064AB155DEB2248FBAB688C618C27D1F3976D31388A |
SSDEEP | 768:LIOMAJqEly71/NwE/9Lyr31xqwHXwV1KWDciO3nZhraKT:IAJBy71/NwE/Jyr31xk8thr5 |
TLSH | T166E2FBB4B0B76E56FD72F1FC217605109D19E38DA3C6B623F830E31E7DA50892D26668 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.8/site-packages/sklearn/tests/__pycache__/test_init.cpython-38.opt-1.pyc |
FileSize | 437 |
MD5 | 68CE795FC3B9DD5A22D30D10B93B6D02 |
SHA-1 | 007E6BE6A9F1839B11410C5BE9C782197B7A1A55 |
SHA-256 | D5CEB972490B7130588B00A6BA8AA37836F8264ABAB0BD5556FCC929E62581D1 |
SSDEEP | 12:cL2EIs49J914U8LC3Eb8GnkJw9iDzoh5J1juGcrts96:cC049iFF3kJw9iDzozCN7 |
TLSH | T10CE061D3CDD11B83E135F5FDA059513F50E846F1AB9DD1734D0CA6675D441A006A3904 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.8/site-packages/sklearn/ensemble/_hist_gradient_boosting/tests/__pycache__/test_predictor.cpython-38.pyc |
FileSize | 2303 |
MD5 | EAE848FDF02D1B80B0EF05CFB5A5059A |
SHA-1 | 00ABE4925CFCFEEEBEF19AC7322CEB00A24A1687 |
SHA-256 | 7081CC706BEA6F1FECB886E93E5A7A614ABFBE1F8C562415620FFD690A6E4993 |
SSDEEP | 48:ERLfqPoDs5g1m8yJB/eH0JWz2CCMB/lD95o4ikH4skvmW7oMhRG1Xts5JK:ERLfqPGm98yJBWZXRlDHqkYt7oMhRG1l |
TLSH | T1504163C53453BB2AF4A9E17DC479800D66B0EFDC5AC5ED975F84F12B9E2860C620B14E |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.8/site-packages/sklearn/utils/_openmp_helpers.cpython-38-aarch64-linux-gnu.so |
FileSize | 71704 |
MD5 | 0F638B76A12D0FFF7FDD176BDBF59E00 |
SHA-1 | 00B22C61825B0EE2356999D75F28EB30D1843613 |
SHA-256 | FFD3032F153E1D629828FC87E2DF6F47C422D2610946B9D4EADC82F53E2BC721 |
SSDEEP | 1536:+Re0L6xo/ulMzS4W9zC5Qn2tDCJQNERIfajy2/3jA:+l83jA |
TLSH | T1B663072CFA0EDA3BC50657340B9A4530B773AA5913A9B3C3361CC69B2FCA58A0D7754C |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.8/site-packages/sklearn/decomposition/__pycache__/setup.cpython-38.pyc |
FileSize | 848 |
MD5 | 28F77931FF9E8B3E63C0686A0250EAA0 |
SHA-1 | 00C956B39A5C58E494796C13D904DD071ACA6100 |
SHA-256 | 46505261EF0B14DF8B596191FF7E0EC98A751EAA5BEA295FDABBDC0B9C594476 |
SSDEEP | 24:ctq7SXOkCXqCpCU/uHiIwOpPniDnmXJLJ0/0iM7wiM0Tk:UqIwOpPnMmXJ9U0B7wB8k |
TLSH | T11F01C58088172AC2DD295338C1A90938047416666F717B0D8FD5328FACE93FD8F93D4C |
Key | Value |
---|---|
FileName | ./usr/lib/python3/dist-packages/sklearn/metrics/_scorer.py |
FileSize | 29414 |
MD5 | 45D67D6CCFAF7D02DBED36011AE86551 |
SHA-1 | 00E9E496C7C5B64D08DA721F5B6E282C25215F29 |
SHA-256 | 9110309212C69C5D7B056F20A4D2058409AD03C161CDD030EE1BE0A1C54BC524 |
SSDEEP | 384:Buj9Gx+yWwoNUwOX6iV0fbN66k3BYQExv5dAaoTbWP:BWGx+yWBGv7cc/3BYQHav |
TLSH | T1ECD2A529FD1B75218B27D8BDB8DBD016A304997B4A502864FCCDC62C1F0595E83FAADC |
tar:gname | rbarak |
tar:uname | rbarak |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.8/site-packages/sklearn/ensemble/tests/__pycache__/test_iforest.cpython-38.opt-1.pyc |
FileSize | 8653 |
MD5 | 0A41D81D5AFD71597D04AE7E20039ECA |
SHA-1 | 010B949C644FCD61F9AF12720C1AB8FF4783E9ED |
SHA-256 | F3A84B3D81CE3A5B7203AA5BE30D9F586D570842D92B92F2B26993AF1F9DDC79 |
SSDEEP | 192:DM3vNEdr+z1sZGgfSAA/GRQRgs6l5s66hXCp7TDY4bX+EDlu3f:D84As+AA/GCRp6l5sbRI7TDYcXuv |
TLSH | T10902D59818425EE2F9B3F3F914A9130457B2E31A264E7627BD13E56E1A08EC41DB77C8 |