Key | Value |
---|---|
MD5 | 5D2FA29F4130E7CB26587869667DC626 |
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.fc34 |
PackageVersion | 0.24.0 |
SHA-1 | 16117A1C32207A75416BCA6E566022AC75AB7041 |
SHA-256 | 96172BEAA1E188FD4892ADB24832977D4FE36C626DD2D66EB4C923D361BC7AC0 |
hashlookup:children-total | 1683 |
hashlookup:trust | 50 |
The searched file hash includes 1683 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/lib64/python3.9/site-packages/sklearn/_loss/__pycache__/glm_distribution.cpython-39.pyc |
FileSize | 10641 |
MD5 | 239B8400D5F3CD0BE520C685333C8FFC |
SHA-1 | 0050812F84C1F56C34EB4DE4C5D6EB294E68EB73 |
SHA-256 | 7A875A43DD30544202DC37E92691CBD73442B86FA1905D774C947B6D0CFB2C9B |
SSDEEP | 192:q4MUHxWKVyRzNWBdVeev/K/327N5pXyFjrSQro4Ti/5Z:q4pfyT28r9ro4TiRZ |
TLSH | T15A2295B0AF929E7AF49BF2B584EA13139D30002F63D1B22631DCD0966F1E17615BE785 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python3-scikit-learn/examples/model_selection/plot_multi_metric_evaluation.py |
FileSize | 3608 |
MD5 | 3366E47F0F923244172F58BDAAE55628 |
SHA-1 | 0067E464C1876018576BBD61309BCD15147A3875 |
SHA-256 | 5AF5A1CFB29AC6452A1C852DA694EB618892A6A559479268647DCBDD6FE67CF3 |
SSDEEP | 96:Vw6SQe99hjxUv3/MXxQC1/94cQX/5PwXQQl5yMUYa:rS5qZPiQSXUYa |
TLSH | T15B71460ADD372B520736D0E4BCE8AA91E392413D5E189164FD0E5A6D0B4AB75333C69D |
Key | Value |
---|---|
FileName | usr/lib/python3.9/site-packages/sklearn/ensemble/tests/test_gradient_boosting.py |
FileSize | 50776 |
MD5 | 379D58F4A018A19CBA3218D75F753F03 |
SHA-1 | 00904C30AF7640968F15780F52FBABF0E1B129F9 |
SHA-256 | 3481482D9003787BDE5E87D78A6B209B784C407188E4C851060F575A61DC1D21 |
SSDEEP | 1536:J59QMpd6DG9sksPNh+JQb3FYqHlK0yQP1FhpVzdt1XzdtVTrbkvYvDgc3a:J59QMp4DG9sksPNh+JQb3FvDhLdt1XzK |
TLSH | T115337505E063496BAF6374B7A9ED451C3B85992B484044BAB6BEC4102FA857C337B7FC |
tar:gname | root |
tar:uname | root |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.9/site-packages/sklearn/preprocessing/_csr_polynomial_expansion.cpython-39-aarch64-linux-gnu.so |
FileSize | 216128 |
MD5 | 43885AFCB60006338EFC9E943344AD79 |
SHA-1 | 00D033BC63ACA828F9F7CDCF06AB938FAD0BC8EE |
SHA-256 | 9C57FB4E499C8235B6A734A7E3D1E2DE03AD7D692BEA9BA94EC0BC2E76F3A69D |
SSDEEP | 3072:P/1tVOR/4l9XlamDW2zUi5iqEt342Fv+q4DC5w31q/L59+:7VOR/YlamDW2zdlmH2P25wlSVM |
TLSH | T160246BBCF70F3D91CA4663399F4942327633648CD399D6E35944E29D73C7ADA8A39802 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.9/site-packages/sklearn/utils/__pycache__/_encode.cpython-39.pyc |
FileSize | 7658 |
MD5 | 247FDB3EBEE95F61F4559902F8BD0D03 |
SHA-1 | 00FC7F92B08A9CE742F2ECB98F8C0885DB5DB039 |
SHA-256 | F1E7A5E2E1D29C9D25B28E64AD25CBAC1AC9FBE6FAD4074178EC7DE043372151 |
SSDEEP | 192:KeYFD4ja/n7IxdTE98F4/Ivn5VuAwBuK7LXC531nE:KFDOqn71lIiq6yR5E |
TLSH | T13DF1A68B7D830A26FEA1F1B281980320FB9C527733C5A69A7A9DE1D52F41D6C543A31D |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.9/site-packages/sklearn/utils/tests/__pycache__/test_random.cpython-39.pyc |
FileSize | 4555 |
MD5 | DC31ACCE19E4AF508974D699CA755010 |
SHA-1 | 014C85A28FC73B169892EEC4BD6B2FF21740826C |
SHA-256 | 0EFE397C4BBBCB8FF7DFC2FF7BD3EB340E4AC903797491AF357230ACB56E1A08 |
SSDEEP | 96:wH8NxPLba5trka4ViJDT6hi4kEy+ikxQMco1ds0+lIjdSuW2z03xn:wcrba5tr2IJXWVkEycQa1NdjW2zY |
TLSH | T12B91B7C7B8025A6AFEB5F27C81BE532B530DD2847B97CD6B5D10E14B2D292D03D78688 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.9/site-packages/sklearn/tests/__pycache__/test_kernel_ridge.cpython-39.pyc |
FileSize | 3477 |
MD5 | 3B40E5F7BF054AE627D1EDAE1ED9B244 |
SHA-1 | 0152CAF05A85C0A777A9193CA439FFFA4C1A1ADC |
SHA-256 | F812E2E0846B1F267BD3C921B4923B1ED760DB33BB24DD78CD5517A98301AA45 |
SSDEEP | 96:244KpCKMrlkrSgj6u3VLX4IddMu0zYxWnoIRw:2anAs+5w |
TLSH | T16471A7A669C21F2BF9A8F5F880CE021D1B50E37C939AA40F9B14EB5F2E0A1D05DA3554 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.6/site-packages/sklearn/metrics/_scorer.py |
FileSize | 29542 |
MD5 | 7ABED31C3417A48FA04A582EB5C70DB9 |
SHA-1 | 018E9A63536A94CB83BDB656C08B934C81706FB5 |
SHA-256 | 8F37B7F3B8DA7123E4A98B2E1DA0D724580DCC50F279D05BD2498A751B565C7C |
SSDEEP | 384:BYHQGSfLlfqwn2awXoHh0fbNJO67zvwKcrspxd5dAKTgWP:BvGSfLlfqa2a6wQzOyzvwbASE |
TLSH | T122D2A428F91B66218B27D8BDB8DBD056A3059D374A502824FCDDC63C1F0599E83F9ADC |
tar:gname | root |
tar:uname | root |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.9/site-packages/sklearn/manifold/__pycache__/_locally_linear.cpython-39.pyc |
FileSize | 21770 |
MD5 | 49B983426BD41AAEA67A090D8B7F2CB7 |
SHA-1 | 018ED19809AA22536A1974F19BB7DFB692F6676B |
SHA-256 | 6ECD4F1E47C5073D3D7214D1ED9EDD0A6EE401BDD3661A8E6CB90951CB7040E0 |
SSDEEP | 384:LWqqyUzt5lz/2Vyhb283ZFDTMQE3u2+8KTLkJD2A8LGE33m+AKAbx0OWkfyk2m0x:L+pztf/28bLZFDTMJ+872AiG+AgOnfTc |
TLSH | T1F6A208263D427A9AFC67F133B8F9161BDB68D71F92D2949234DE521C2F430A1226D788 |