Result for 16117A1C32207A75416BCA6E566022AC75AB7041

Query result

Key Value
MD55D2FA29F4130E7CB26587869667DC626
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.fc34
PackageVersion0.24.0
SHA-116117A1C32207A75416BCA6E566022AC75AB7041
SHA-25696172BEAA1E188FD4892ADB24832977D4FE36C626DD2D66EB4C923D361BC7AC0
hashlookup:children-total1683
hashlookup:trust50

Network graph view

Children (Total: 1683)

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
FileSize2540
MD520F0800268AA3B127A61866BEB151FF0
SHA-1001C2B7EF85E6BFACF735090F2C5E656263B182A
SHA-256800978E1EF0A17DAE6DEA3ECAB717245DEA9CDBA8F649D4E4A2877352DB3E680
SSDEEP48:CdEGkJVbTOXwNUh6EPXu6HSghmkhslNMftKVGbioWGF:CvQcX186HIkh6Sms
TLSHT140517401364C73B09B4381983DE7ADB57761A17F5D80282FB1AD6244CF18BAAD739D8A
Key Value
FileName./usr/lib64/python3.9/site-packages/sklearn/_loss/__pycache__/glm_distribution.cpython-39.pyc
FileSize10641
MD5239B8400D5F3CD0BE520C685333C8FFC
SHA-10050812F84C1F56C34EB4DE4C5D6EB294E68EB73
SHA-2567A875A43DD30544202DC37E92691CBD73442B86FA1905D774C947B6D0CFB2C9B
SSDEEP192:q4MUHxWKVyRzNWBdVeev/K/327N5pXyFjrSQro4Ti/5Z:q4pfyT28r9ro4TiRZ
TLSHT15A2295B0AF929E7AF49BF2B584EA13139D30002F63D1B22631DCD0966F1E17615BE785
Key Value
FileName./usr/share/doc/python3-scikit-learn/examples/model_selection/plot_multi_metric_evaluation.py
FileSize3608
MD53366E47F0F923244172F58BDAAE55628
SHA-10067E464C1876018576BBD61309BCD15147A3875
SHA-2565AF5A1CFB29AC6452A1C852DA694EB618892A6A559479268647DCBDD6FE67CF3
SSDEEP96:Vw6SQe99hjxUv3/MXxQC1/94cQX/5PwXQQl5yMUYa:rS5qZPiQSXUYa
TLSHT15B71460ADD372B520736D0E4BCE8AA91E392413D5E189164FD0E5A6D0B4AB75333C69D
Key Value
FileNameusr/lib/python3.9/site-packages/sklearn/ensemble/tests/test_gradient_boosting.py
FileSize50776
MD5379D58F4A018A19CBA3218D75F753F03
SHA-100904C30AF7640968F15780F52FBABF0E1B129F9
SHA-2563481482D9003787BDE5E87D78A6B209B784C407188E4C851060F575A61DC1D21
SSDEEP1536:J59QMpd6DG9sksPNh+JQb3FYqHlK0yQP1FhpVzdt1XzdtVTrbkvYvDgc3a:J59QMp4DG9sksPNh+JQb3FvDhLdt1XzK
TLSHT115337505E063496BAF6374B7A9ED451C3B85992B484044BAB6BEC4102FA857C337B7FC
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/lib64/python3.9/site-packages/sklearn/preprocessing/_csr_polynomial_expansion.cpython-39-aarch64-linux-gnu.so
FileSize216128
MD543885AFCB60006338EFC9E943344AD79
SHA-100D033BC63ACA828F9F7CDCF06AB938FAD0BC8EE
SHA-2569C57FB4E499C8235B6A734A7E3D1E2DE03AD7D692BEA9BA94EC0BC2E76F3A69D
SSDEEP3072:P/1tVOR/4l9XlamDW2zUi5iqEt342Fv+q4DC5w31q/L59+:7VOR/YlamDW2zdlmH2P25wlSVM
TLSHT160246BBCF70F3D91CA4663399F4942327633648CD399D6E35944E29D73C7ADA8A39802
Key Value
FileName./usr/lib64/python3.9/site-packages/sklearn/utils/__pycache__/_encode.cpython-39.pyc
FileSize7658
MD5247FDB3EBEE95F61F4559902F8BD0D03
SHA-100FC7F92B08A9CE742F2ECB98F8C0885DB5DB039
SHA-256F1E7A5E2E1D29C9D25B28E64AD25CBAC1AC9FBE6FAD4074178EC7DE043372151
SSDEEP192:KeYFD4ja/n7IxdTE98F4/Ivn5VuAwBuK7LXC531nE:KFDOqn71lIiq6yR5E
TLSHT13DF1A68B7D830A26FEA1F1B281980320FB9C527733C5A69A7A9DE1D52F41D6C543A31D
Key Value
FileName./usr/lib64/python3.9/site-packages/sklearn/utils/tests/__pycache__/test_random.cpython-39.pyc
FileSize4555
MD5DC31ACCE19E4AF508974D699CA755010
SHA-1014C85A28FC73B169892EEC4BD6B2FF21740826C
SHA-2560EFE397C4BBBCB8FF7DFC2FF7BD3EB340E4AC903797491AF357230ACB56E1A08
SSDEEP96:wH8NxPLba5trka4ViJDT6hi4kEy+ikxQMco1ds0+lIjdSuW2z03xn:wcrba5tr2IJXWVkEycQa1NdjW2zY
TLSHT12B91B7C7B8025A6AFEB5F27C81BE532B530DD2847B97CD6B5D10E14B2D292D03D78688
Key Value
FileName./usr/lib64/python3.9/site-packages/sklearn/tests/__pycache__/test_kernel_ridge.cpython-39.pyc
FileSize3477
MD53B40E5F7BF054AE627D1EDAE1ED9B244
SHA-10152CAF05A85C0A777A9193CA439FFFA4C1A1ADC
SHA-256F812E2E0846B1F267BD3C921B4923B1ED760DB33BB24DD78CD5517A98301AA45
SSDEEP96:244KpCKMrlkrSgj6u3VLX4IddMu0zYxWnoIRw:2anAs+5w
TLSHT16471A7A669C21F2BF9A8F5F880CE021D1B50E37C939AA40F9B14EB5F2E0A1D05DA3554
Key Value
FileName./usr/lib64/python3.6/site-packages/sklearn/metrics/_scorer.py
FileSize29542
MD57ABED31C3417A48FA04A582EB5C70DB9
SHA-1018E9A63536A94CB83BDB656C08B934C81706FB5
SHA-2568F37B7F3B8DA7123E4A98B2E1DA0D724580DCC50F279D05BD2498A751B565C7C
SSDEEP384:BYHQGSfLlfqwn2awXoHh0fbNJO67zvwKcrspxd5dAKTgWP:BvGSfLlfqa2a6wQzOyzvwbASE
TLSHT122D2A428F91B66218B27D8BDB8DBD056A3059D374A502824FCDDC63C1F0599E83F9ADC
tar:gnameroot
tar:unameroot
Key Value
FileName./usr/lib64/python3.9/site-packages/sklearn/manifold/__pycache__/_locally_linear.cpython-39.pyc
FileSize21770
MD549B983426BD41AAEA67A090D8B7F2CB7
SHA-1018ED19809AA22536A1974F19BB7DFB692F6676B
SHA-2566ECD4F1E47C5073D3D7214D1ED9EDD0A6EE401BDD3661A8E6CB90951CB7040E0
SSDEEP384:LWqqyUzt5lz/2Vyhb283ZFDTMQE3u2+8KTLkJD2A8LGE33m+AKAbx0OWkfyk2m0x:L+pztf/28bLZFDTMJ+872AiG+AgOnfTc
TLSHT1F6A208263D427A9AFC67F133B8F9161BDB68D71F92D2949234DE521C2F430A1226D788