Result for E21018ED668BE7CE20E7709EAAD62C5809D4391B

Query result

Key	Value
MD5	696C5D9A72AED7B4961D2FAD4DE3EE0F
PackageArch	x86_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.
PackageMaintainer	Fedora Project
PackageName	python3-scikit-learn
PackageRelease	2.fc33
PackageVersion	0.23.1
SHA-1	E21018ED668BE7CE20E7709EAAD62C5809D4391B
SHA-256	26FBA8D670F9F85130EC5884584D277A959B74FCD23704CC9E39AE4FB490B51F
hashlookup:children-total	1863
hashlookup:trust	50

Network graph view

Children (Total: 1863)

The searched file hash includes 1863 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/linear_model/tests/__pycache__/test_least_angle.cpython-39.opt-1.pyc
FileSize	17430
MD5	9C131CF04A76441034F7DE5F6C939125
SHA-1	0037D74A6A2B9A87614C133E1B8648EAFAC02999
SHA-256	CE32D3C81AB57385EAFA4EBA173956454EB80553007D26350596A7C629E22FDE
SSDEEP	384:iuVildWD/WW4BU3A57/NnTt0sHRoxJUQaUAw9cdsC:iuQODNwVFTt0sxo71Aw9cdz
TLSH	T1AE722A997C87DE5DFC2AF1FC003D09108E54E374274BE7429920A24F1D655A63EBB1AE

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/python3.9/site-packages/sklearn/manifold/__pycache__/locally_linear.cpython-39.pyc
FileSize	644
MD5	DEDC0777030F99F44CDC0C1F639A0302
SHA-1	006B5F362000778E87B7B12D48627274A3E4B35E
SHA-256	D240DFCE14EAB3FE01EE5590D047114D679B5C91F7BEE5504CEF9609C85D9ED0
SSDEEP	12:Qi/K2ZILsS/ADJ5leRHhv1nHA20vGeEiuyr6hQBlk6MRcsc3gDn:Q0Wsb3eRJ1nweeERfh0a6Aqy
TLSH	T167F07D53170B2771DEE176F6245646214AF14A23674D82436F98AD0F75063DA1509A6C

Key	Value
FileName	./usr/lib64/python3.9/site-packages/sklearn/utils/_openmp_helpers.cpython-39-x86_64-linux-gnu.so
FileSize	35080
MD5	1801ACBEE8D6CBF50704D049CDD3EBED
SHA-1	0177D7E50ED706AC558CE3329BFFBADFF69559CF
SHA-256	4D3B7CB9EC3604D95041DBEC43C95A1649D13AB2714A3F69A2729E5211F574C5
SSDEEP	768:x7bTLD7zrjOm+WuGe2Om+WuGe2Om+WuGe2Om+WuGe25BpxZhJR5BpxZhJR5BpxZr:xMckrKJN3Fx
TLSH	T1ADF22A1FF0A14D7CC5A8A630CA9B8A635AB1F455B13016EF1A94FAB72FC36604B77D04

Key	Value
FileName	./usr/lib64/python3.9/site-packages/sklearn/ensemble/_hist_gradient_boosting/tests/__pycache__/test_gradient_boosting.cpython-39.pyc
FileSize	18790
MD5	121E2F314CA6D2066C4133BF2F97C314
SHA-1	01860309E55D0A2BEA2102CAEE069B56E51E1F84
SHA-256	BD0729F078F83C6A8D92DBAF49287198EE503E3B09EF82D788A8CD014F5F6DFE
SSDEEP	384:uh4DK95bZogZsP1HeOIYN8O8xmR6JI7OMLevob6Lvc7TSLGpzHOWOV:uhFRitJIEYhJIvb6LvH2HOWOV
TLSH	T1E78229A6E4436F65FC79F5FD5C2E021C4A54E2AC9382D1B79C50A34F1CD96C82EBA038

Key	Value
FileName	./usr/share/doc/python-sklearn-doc/examples/applications/plot_face_recognition.py
FileSize	5673
MD5	E04463D133077965B621853B417E3976
SHA-1	01A05E69B658947C8718FF96E63992BD7120AFD8
SHA-256	95EF36678B93D317074819E512B6EB9FD41AD6CF42BE577F6C95F233494D0C95
SSDEEP	96:/WrdZDdY/G+XcXjnW+eV4fcQAY8vxucweFmVFG6kgIOrzTmd1ljF9bw2sbwnHqlN:erbzeV4fcTY2IcxidksKR93sRlZ5Ey
TLSH	T128C1B57A7A6B3B71D3A760B9A9EC38B43720504E0DB30515338D42D00BB2F78676399A

Key	Value
FileName	./usr/lib64/python3.9/site-packages/sklearn/tests/__pycache__/test_multiclass.cpython-39.pyc
FileSize	20104
MD5	E02727CA1F32AA860823620225137383
SHA-1	01CE6529BA789A345611B61252C867AB40DE713C
SHA-256	0D189DE93F38FD4516A4C9A9FC091898CABC319DE6F1CEFFD6B5D856DB5DD9AF
SSDEEP	384:+Wc6xRFYmGlBqIwixvt6u6FhFvkxBzJC1m8Bpy:Dc67FYdBZrodFhd+JC1m8B0
TLSH	T1B192D778B8036E6BFE36F5FD40A502890E75E3399BCBC5C3D534965E2C006C91FA6A58

Key	Value
FileName	./usr/lib64/python3.6/site-packages/sklearn/datasets/tests/test_olivetti_faces.py
FileSize	864
MD5	46B067B890D8EE9DCF4D28E4919A79DE
RDS:package_id	294806
SHA-1	01F046C372BE4464FB3C2A9DE97398EA4358A892
SHA-256	E015CCE430A08EB77D9FD21AF2B4DF518954363646E02C2DC6CFC97456404198
SHA-512	26E342D5B7B72A6684E5AEA57476532E25A89D55A3DCEBA27E460A63BE877B8531C46059367CD70338C50090E0EB62DDD8681134AF55B112029BD580AAB13DE3
SSDEEP	24:AF94/5eOTyiyrTNyN59L1sGJsJzUJbTm2dvbF:AFK/D+vrIN59LeGiKtaeJ
TLSH	T11F1152057092120AB25372FA42AEF86397A3FF490F0155F0396BAA80378D9757357039
insert-timestamp	1696437101.8363733
mimetype	text/plain
source	db.sqlite
tar:gname	root
tar:uname	root

Key	Value
FileName	./usr/lib64/python3.9/site-packages/sklearn/tree/__pycache__/_reingold_tilford.cpython-39.pyc
FileSize	4901
MD5	818A3328CA559D1318C64923363E3209
SHA-1	01FC8B45AF0A693BE892277ABB30B29CFEF89FD9
SHA-256	44954A4BED8943C44E60822FD81DBF8049F711499EBD7097A5831B3470D39A5B
SSDEEP	96:3mV1S0kx/H3vmsysEj0QudOD2kgSrksO2qobqMP4beC+vfm0QalbXsuHjN+m+Gaq:2Lkxf3vmGI0Quy2gosOO7P4bU3m0Q6Xn
TLSH	T168A140C04EC2BDBBFD3CF2FE486B0687A33652B69306A25B212151BA1D8B3D45C65818