Result for A16BAC3D07DB829D729325E141FEFB13FC42EB2C

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Children (906)

Query result

Key Value
MD5DBAF1268CC6548DA69B7EFA0382FB4CF
PackageArchaarch64
PackageDescriptionScikit-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
PackageNamepython-scikit-learn
PackageRelease2.fc22
PackageVersion0.15.1
SHA-1A16BAC3D07DB829D729325E141FEFB13FC42EB2C
SHA-256EBC6E78BE6FB065D3F428B073B2579E890B471365D158F4CCFDEA64C345BED1D
hashlookup:children-total906
hashlookup:trust50

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Children (Total: 906)

The searched file hash includes 906 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/lib64/python3.4/site-packages/sklearn/ensemble/tests/test_forest.py
FileSize17601
MD5856C9EB5C6357A8E978BB27ED478B14D
SHA-10001980ED073FFA12C4D97EE33F9FC4D4A9FF043
SHA-25695CDF4DE2328FC18906E92054FE52629B8B6B99CEF8992750C9EA14D9533FA72
SSDEEP384:RmH3A2etKtuw8ixVT17yl8iMX5nITJojVpKv+66wLoVE/wpL+:RmH3A/tKtuw9xVT17yl8NX5nITJojVpu
TLSHT18482D703F8960D595B53297E24DE510827956B1B860818753EFFD0086F9462CB3FBBBE
Key Value
FileName./usr/lib64/python3.4/site-packages/sklearn/linear_model/ransac.py
FileSize13952
MD567B38A5B19534C15626BEDDA27CE70D0
SHA-1000C0BD44626C1E94A98B9CB8615101BC35C180F
SHA-256526176561F560882ECAE0B67F451191EBFC36F7E9228B327F61452F553983492
SSDEEP192:1axKzOGnKFnGWjPfIAeMl0Bgox2WGZHO6qWKNRKES6dIhBNRERZCoNbk7A:oK68KRTfIAXkaHRKS6aBsRZhb7
TLSHT17F52940568203B374A87B5B068DE010BC77918A79686A4757CFCC3AD1F6297873ADBD8
Key Value
FileName./usr/lib64/python2.7/site-packages/sklearn/ensemble/gradient_boosting.pyc
FileSize58282
MD5625432A4115B3D98FDB5457CA2DDD5BC
SHA-10056842A3FE2BACCAC716688D1181D838BA2F5C8
SHA-256EDF44E8CD62B5D9235797C8365D665B04847FD0AE18AE71B9C8B1C11E95BE933
SSDEEP1536:5FFr/jj4jxqqBy4fV6s/rueuiTsH60RX08PgNSSHdtmoogmQH3GnoosU93:p7jkxqqBy4fVdueuiTsH60RX0ugNSSHu
TLSHT16143A286F6421B2BE52185B2A4F4020E9FB1F86B7141275036FDE57A3F9462DCA7E7C0
Key Value
FileName./usr/lib64/python2.7/site-packages/sklearn/linear_model/coordinate_descent.pyo
FileSize61222
MD553E0322D6FD8DC5FE1748ED9638AA13B
SHA-100712D2DBE4EFDC59AE42831FE3FA2536DDF14CD
SHA-256C0CC92DAE017FF164A1D8674D570CBB6D2950EBB70B3D770E4186FCD7922344C
SSDEEP1536:MbvxIgel4FVoDRKYJPYoPmcI6GCIny6nb3cnwYunb:IpIgel4FVoNyoPmcI6itp
TLSHT14053F90A67811BB6865741B17DF800839774B47BAB566A4030ECE7B42FC5AB4C3AF78D
Key Value
FileName./usr/lib64/python2.7/site-packages/sklearn/cluster/bicluster/tests/test_spectral.pyc
FileSize8180
MD5D61854426F85D68AFFCB8A9BA1EB664F
SHA-1008B0FFA5F60272B5A781D56E245D6FFE97B5494
SHA-25647DE0BB4FA8CC8ABD4CAAAB91A164A9532D15F68C048ECE8AA7C57C86752C033
SSDEEP192:mAozSK+E31SDyau1MN1ZQ1n9LS0t1om6S01b1ba1c1qo91T31i190Am8CAuw1W19:2WEFSDniMzinJBTo5B1pbeobTFii8qn9
TLSHT1A8F11D91D3E68E57C8B07235A8F043678E65F4B77940A78112BEE03C39C9355E66E386
Key Value
FileName./usr/lib64/python3.4/site-packages/sklearn/linear_model/least_angle.py
FileSize46647
MD50B34207DB584C0AFB6E53C76B5E17AE5
SHA-100A97B7C7BA60A50476E062B63A22BCD97867CCD
SHA-2563A37606F5268D0B0A4066DBE6AB7F2D95EB2FA7091042A567BDC5B8F729F80A0
SSDEEP768:tgTxOEgCE6oOGtaeHWfOJognFMiTUhd/gTnzoAxEH:tgTxOEgp6YW1gneKed/gTn0AxEH
TLSHT16723F80B9D112A384B0786762CDA4083672428B75EEB146534ED5358AF468F863FEFFD
Key Value
FileName./usr/lib/python3/dist-packages/sklearn/utils/sparsetools/_graph_validation.py
FileSize2407
MD56CCA3A2DFA57FF6AF3CF3A27AE22F209
SHA-101070C25205C477A297A7CCE48DA78871F64DD2C
SHA-256298C9425EE8888DD03C6A32021051C1ACE1D8C45775B277F0095589690515DD8
SSDEEP48:PLdf167rziXSwtpF8AyEv9iVfkZY2MiV8K2pq:DL6fep8AJYVfkZLFKtpq
TLSHT1FE41FE25932D0564D16380E48C83A70E1AD8F6073F67242DF4EEBC682F3861C63257BD
Key Value
FileName./usr/share/doc/python-sklearn-doc/stable/_downloads/plot_polynomial_interpolation.py
FileSize1895
MD5A4CC2943F64D2730EF80B9504C583D19
SHA-1011BDEF5443BE65B5EC29C9D37FCEEC7206429FA
SHA-2562B12D9E9919C21B4BFF58007AB9F645B717AE7749E79099AFBB8B253B5A3ABFC
SSDEEP48:3b/2fr4glFa11YCuArC18AlcCxaD+1sozVGsA9MGNr:z0lAO18gcCE+BgPr
TLSHT15541B9092E55E82107364074B6F898616E19046EAE8305663DCDBE301B42B0F3D3BF47
Key Value
FileName./usr/lib64/python2.7/site-packages/sklearn/decomposition/sparse_pca.pyo
FileSize8974
MD55C195273EB72B1EC037DE37453D73515
SHA-1013D628FDE436256D5E4B3B795791F59EA373D9E
SHA-2563594D86BCBB40352DE6346BEFDDB609294692D90FF925C48E319D8CD78E6418A
SSDEEP192:byIBF7MRerg3NDWA7CDFcJU0c8JGzd3t9xJCnQT/qlBF7MBef6r8WA7l3GXU0P1b:byIBaRog9yv54GzxjC1lBaBef8DKk/T
TLSHT11C0282446A564B2794A5C23069F82097CA36B4B7ED832A4139DDA4383FCB179D27F3C9
Key Value
FileName./usr/share/doc/python3-scikit-learn/examples/cluster/plot_cluster_comparison.py
FileSize4865
MD5919283D95801BDB1582E6768ADC62A65
SHA-10145D31CB950A8CC679300AF4CF93EC48DE5D612
SHA-25664C861D3DC5FE9F11F44F2AA5A86FF15BEB60B26B7974895663F37DC729039C3
SSDEEP96:hLrD8Hd/MIsALpqtjAFejIHXSNIuGytASwTgSNexmDDz4bW:h4nVBgZ/6tLQW
TLSHT176A1857167126117EF93B09A4EB751E837946057075028AAB52CC3254F0BB3CB3F2B9B





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