Key | Value |
---|---|
MD5 | 5D1ED4C003259D944D2617D4E01914D2 |
PackageArch | x86_64 |
PackageDescription | sklearn is a Python 3 pypi_name that integrates classic machine learning algorithms with the tightly-knit world of scientific Python packages (numpy, scipy, matplotlib). |
PackageMaintainer | umeabot <umeabot> |
PackageName | python3-scikit-learn |
PackageRelease | 3.mga9 |
PackageVersion | 1.0.2 |
SHA-1 | CC68662CEECBD9EF40384B8C66E1C90DC15879B0 |
SHA-256 | 2CCDE19E5D2B3F05B17A4DA275152D0A682A5CDE2F134676EA65D42818546A14 |
hashlookup:children-total | 1461 |
hashlookup:trust | 50 |
The searched file hash includes 1461 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/lib64/python3.10/site-packages/sklearn/random_projection.py |
FileSize | 23841 |
MD5 | 06C30C69F74DFC3AF749C9B51BF607A7 |
SHA-1 | 0006E35F273AC6130075CAD3F16A12B506D9CE46 |
SHA-256 | 2960E02471577BAF8285FDFD2547117B79F5BD63AA2E356BFE13E0690620CE00 |
SHA-512 | D0DC4BA8340943094C1577BC5A703C7A3DD1F86E8DF7AB69771B2AC16BF13D5F8435837A4F8D8083784A16CC0108D219D654494427D9067B39EE6A8CE4344713 |
SSDEEP | 384:JVnly7p/FuuUg6rsKFxi8WrEkxsG8fTvmuTEZv53wLn+Uni1220ZTENUe02ubVaq:JXyt/FuuUHrsKFRWrEkKGSuiwitniol3 |
TLSH | T15AB25412BA44533D03D78072BAFF6857D7E960A79AD3542638DE81A42FA2434327F6CD |
insert-timestamp | 1650075388.5322664 |
mimetype | text/x-python |
source | snap:qlekdqRb9ScClFkFW13cMQrTnfuSU59E_24 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.10/site-packages/sklearn/utils/tests/__pycache__/test_stats.cpython-310.pyc |
FileSize | 3066 |
MD5 | F86F5B75F87B4370180C91D5756BAABD |
SHA-1 | 007EF57F7C5011EE2A86505DDCCE7DB22BFC11BB |
SHA-256 | E4A4FCCDB518C96B00F06A8D24949B91DE1380DB205AACCC5E6F7B432E54B612 |
SSDEEP | 48:dei/rN0zrXO80LWeb3kpiALugfOcnsSqqAPFuUjsFK2N7ADXkrW52AeJK7SAvHqL:QijoreTthgfrsSqqQrjsFKM8budAesbS |
TLSH | T1A25142C568C76F07FEA9F6FDC1520A193969EA6A23C2C90F0F40902E3E4414A2F62C1C |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.10/site-packages/sklearn/metrics/_plot/tests/__pycache__/test_plot_roc_curve.cpython-310.pyc |
FileSize | 4406 |
MD5 | DD203C22391BD53451FCD64784B768B8 |
SHA-1 | 008AA2CF37E16776328776572D1774EB0376C478 |
SHA-256 | 01B143CED36696A9ABE30873E92356FE7EB1AF219FC0782765D7B837792E5F8F |
SSDEEP | 96:CN8sQMCtRVKL/UtBLQhtomVFsmSPqOhRHEg6qjI1s01Ryd:NsnCL4LcQUvmQqOhRkgLd |
TLSH | T17691E8C5D5075A75FEE4F0BB206A54085BB6DB4867E454E3EE5CF7230D8C6880E9131D |
Key | Value |
---|---|
FileName | snap-hashlookup-import/lib/python3.8/site-packages/sklearn/utils/tests/test_optimize.py |
FileSize | 769 |
MD5 | B80690351B758C0AC49FF9179F928FF2 |
SHA-1 | 009471A6046B0397C011D2E2A4B3ADC7D488A9A7 |
SHA-256 | A1D9AC8388E1953066FFD609B370FE5C1329FAFC6297C2DAF3F75D32B9EE865A |
SHA-512 | 8DC7259BCD3E1AFDAFEAB574FFC656FEF7322E3CF3E7099C21E885A52122AB0E13C08CDF799F1BF5D4F920AE71F509CAD91B4D6C65445669AD49BB221840578A |
SSDEEP | 12:rOTyP8xOz68oOyqBuegsClUVs/MaFFR3rcsNt4nrsDapt6d+je5sLbQTd040uNEv:rOTyxPyNeYWsv5krs8tiuefTe40umv |
TLSH | T1960197B32BEB6390833792660C1FE425D369E963591018FCB1AD0FC23FC4169B6E12C2 |
insert-timestamp | 1728267455.0952032 |
mimetype | text/x-python |
source | snap:43LOJ1RcqawGIwV10Xk4HzV76JkxgFo2_383 |
tar:gname | root |
tar:uname | root |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.10/site-packages/sklearn/cluster/__pycache__/_kmeans.cpython-310.pyc |
FileSize | 55734 |
MD5 | C49CFA86FE8442F1480197316369CCEC |
SHA-1 | 00E76CDCD6419765BDB3413D3D0A463127065569 |
SHA-256 | 893BF7F4737011C1A311E40F35C82BEF41D2C6E7D00711CD7FB938455F708AD9 |
SSDEEP | 1536:HiBar8dUkpnx8v5rkXZ4kI8mCkMV2JhZCUTxlfKKCE3bEB7tahiYh5ti:His8dlxo5gpI0kMVuhgUTx5WB7EhiYhK |
TLSH | T16343E8267D461A3BFD43F0B315EE02A6E720852F53A4505275AE92142F43A7837FEB9C |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.10/site-packages/sklearn/datasets/_twenty_newsgroups.py |
FileSize | 18086 |
MD5 | 96D6F71F78D09E0CAE2B763BE51E4A4B |
SHA-1 | 01AC14926D922376AAF304C64750F1B165204A6C |
SHA-256 | 5D84C600F60F19A9EDA7220BA68355C5F15575504FBAC79B1CC42B785FE7270D |
SHA-512 | BB8A54383C1152CE20EDCB36FD245896A51F88C7DF628BBAA364B6707E4FACAE9B87807537946F7FD2168B397AF095EC34263956026D21D6578C273D4EF025BD |
SSDEEP | 384:LXy9El7kmwrj68CGMbPRs86Zp0dknNFgGPSGk9SpHKrAgV9OVVW:G9WYmwX4K8/daN9W |
TLSH | T1AB82B50FBA0646A683E3B0F08A9C4111A760F5AF9B0390397DCCD1542F1867AB6F97DD |
insert-timestamp | 1650075394.9392428 |
mimetype | text/plain |
source | snap:qlekdqRb9ScClFkFW13cMQrTnfuSU59E_24 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.10/site-packages/sklearn/tree/tests/__pycache__/test_tree.cpython-310.pyc |
FileSize | 58978 |
MD5 | 0F25B8BD0AFF5A5F67233F433737D600 |
SHA-1 | 0220E1691EDD28C19DF7576D429AFD4B73A8E269 |
SHA-256 | C7938E333DF76F692FFF53EA2D342F34BC1D5A73C3600590CC43CE820E7A2004 |
SSDEEP | 768:g7SzH4qv+wnEOwLIBUrAT3fX6R52MxTV8/uoB0GQsDDRv60nLCr2qQME5Z2+EO1:l4qv+wrw7rA6kGYutsRv6ALmUm+D1 |
TLSH | T1DF4309B9B87A3D9BFF18F6BD102603D09644F36A5786C6937419E32A3F503E12E690D4 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.10/site-packages/sklearn/covariance/tests/__pycache__/test_covariance.cpython-310.opt-1.pyc |
FileSize | 6705 |
MD5 | 03F84E2D32D75E6E70969BF76C0C5B72 |
SHA-1 | 024ADB8DC323C5A7A27D71959935D8687B91C044 |
SHA-256 | 9E4556BC54A8913C3119DC4157A4A1A680EA868CF3DD644C2888A6C84B08EB80 |
SSDEEP | 192:skf2vyWgMHe0nc1dRVl9qqt2GGEBw5slcBP4/QJ5:sY2vy8e0nc1dRVl9qgGEm5sleP4/Qv |
TLSH | T137D1A6CB65A54E1FFD98F4F041D60318D413D28D23067293B825A61E4EA9A861ED7A8D |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.10/site-packages/sklearn/linear_model/tests/__pycache__/test_huber.cpython-310.opt-1.pyc |
FileSize | 5432 |
MD5 | 4B04DEEB077D18CAD49B19D008215E25 |
SHA-1 | 025555270F4D8FA3D38090E5B4E49BB19AB010F1 |
SHA-256 | D51242AB17DC28D087102382B30837C7DA72D44E32A7B2B5E668F86DDE8585EC |
SSDEEP | 96:3HFPXtiA/X55SX+TXo9VbuVkXXXaEXhU/vZXCiMGf5XjykXJEYXoN+0DXghul0XV:VViA/3SSYLuVknqERk0o5td44Cwhul0l |
TLSH | T120B1B7C0984B5E1DFCB8F2F8701E06191AA0D76A97CFF50D4898A19D0ED65C71D77970 |
Key | Value |
---|---|
FileName | ./usr/lib64/python3.10/site-packages/sklearn/feature_selection/tests/test_mutual_info.py |
FileSize | 7027 |
MD5 | 17DECB07D001CABDEE6C0AB3F80BCBAF |
SHA-1 | 02580B916944DB2E23895F0E5A4107FAA033DEFE |
SHA-256 | 9D3755E64777F1BBE84088F9A5BA16977E8D485A38A565830F40833BA71647EB |
SHA-512 | CF4E6E7D0AF270562BDAF71D0E4FBB1810996F62769C7516473AA15C4F2729E31728D8EA60EEE343C0C979E47582FA4648D8E9517876C6B03FB27AB1FD9DC07C |
SSDEEP | 96:DMbbRbYIjBm9gaABT42GNbh9INqW4LdScHqdINH3dry9tChj0JHZigDksi71jOoL:oY9IVSzUkcCBsBw77NOYGc |
TLSH | T14AE1B61125472D29A78B80DA02CB4A216BD9ECAB59406C7F7DBDC6012F4C072F37EED6 |
insert-timestamp | 1650075390.017073 |
mimetype | text/x-python |
source | snap:qlekdqRb9ScClFkFW13cMQrTnfuSU59E_24 |