Result for A330C7F45847808D2DE3C7CF0F299F8DA88DB974

Query result

Key	Value
MD5	F949F0A119119E5EB2F9B7B13691AF4F
PackageArch	ppc64
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.fc22
PackageVersion	0.16.0
SHA-1	A330C7F45847808D2DE3C7CF0F299F8DA88DB974
SHA-256	D7F8C42B2C2B38249C6D6BFB67C0E4FA791631FAF70C1596397F7353098DD259
hashlookup:children-total	944
hashlookup:trust	50

Network graph view

Children (Total: 944)

The searched file hash includes 944 children files known and seen by metalookup. A sample is included below:

Key	Value
FileName	./usr/lib64/python3.4/site-packages/sklearn/linear_model/tests/__pycache__/test_logistic.cpython-34.pyo
FileSize	18170
MD5	755CE6CE4C2C2FFAD76634A4D7E1A82D
SHA-1	0007D51583CF577DBD037FB6FE08A52440549075
SHA-256	6DBCE8F9C7A93BDB8F8B4E71745642D7922C617497001867CB7F16D73C1019EA
SSDEEP	384:QOsFjHYLF0TGsXqtOaEGB0J6/zR40hUUYk6JqUT2sL0b2qeJnGFdjm0jI3z8888W:0YLF0TGsXqtOaEGB0J6/F4uUbk6JqUTE
TLSH	T1A1822B9063C2898BF660F2B9A0705311CEB6F68ABF40A34597F1D47D3FD07959D1B28A

Key	Value
FileName	./usr/lib64/python3.4/site-packages/sklearn/cluster/hierarchical.py
FileSize	40213
MD5	8445D44F4F9E4D4112DCC21A36D037F7
SHA-1	000C3C854269C2922BE1C06595F3E880851D30D3
SHA-256	E9F414A812CF50C6FC8061E0C0D971798F41FA8326ABEF670BFE139617C27AB2
SSDEEP	768:b6CfhXuUcGwQogk2J3If3V4Spty5kccGwfoPr22J4HDGV4r2o2KKkPkGwkelh7pD:b64eUPzIf3V4Spty5kcP1rqHDGV4r2o2
TLSH	T19B03B722660423715B8790924E7F91A7E34044DF9F5320793DAD92686F12B68F2FFBC9

Key	Value
FileName	./usr/lib64/python3.4/site-packages/sklearn/gaussian_process/__pycache__/__init__.cpython-34.pyo
FileSize	463
MD5	E55681CAB244A3D58900C079AB6E9F70
SHA-1	00373CB0BBC3D5C6F0A9129B41C723F2A7F08245
SHA-256	9F82E72DC3D4B4BF09E70F4695C86815AD8D6B393A9C46D63BD49E721B5BB928
SSDEEP	12:ERt/jlxdzpwnhpWiY/od672k5ETJ17RCGGGDI5Db4M:q/ZxpyfRYstk5EX5GgYD
TLSH	T11AF05C6182968B2BE8BFF275F013412919E474A46734CB230F08D06D2F543A4062B440

Key	Value
FileName	./usr/lib/python3/dist-packages/sklearn/utils/sparsetools/_graph_validation.py
FileSize	2407
MD5	6CCA3A2DFA57FF6AF3CF3A27AE22F209
SHA-1	01070C25205C477A297A7CCE48DA78871F64DD2C
SHA-256	298C9425EE8888DD03C6A32021051C1ACE1D8C45775B277F0095589690515DD8
SSDEEP	48:PLdf167rziXSwtpF8AyEv9iVfkZY2MiV8K2pq:DL6fep8AJYVfkZLFKtpq
TLSH	T1FE41FE25932D0564D16380E48C83A70E1AD8F6073F67242DF4EEBC682F3861C63257BD

Key	Value
FileName	./usr/share/doc/python-sklearn-doc/stable/_downloads/plot_polynomial_interpolation.py
FileSize	1895
MD5	A4CC2943F64D2730EF80B9504C583D19
SHA-1	011BDEF5443BE65B5EC29C9D37FCEEC7206429FA
SHA-256	2B12D9E9919C21B4BFF58007AB9F645B717AE7749E79099AFBB8B253B5A3ABFC
SSDEEP	48:3b/2fr4glFa11YCuArC18AlcCxaD+1sozVGsA9MGNr:z0lAO18gcCE+BgPr
TLSH	T15541B9092E55E82107364074B6F898616E19046EAE8305663DCDBE301B42B0F3D3BF47

Key	Value
FileName	./usr/lib64/python3.4/site-packages/sklearn/neighbors/nearest_centroid.py
FileSize	7219
MD5	3F05ED5457FCF69C422C4EB5F5D86CA4
SHA-1	0164D287CCF459DEB314C9B84916163D69BEEE13
SHA-256	0A2CAF710C753B10E6D10F95CF1D2E91CD430CCF9CF37EB0B95A300A138040D6
SSDEEP	192:zLmCsu7Ej7Mvse9Du2izWTOgxMW2MB7lxXB:/maELeZu2iSO+32MB71
TLSH	T1D5E1B5166B061B3AC787C46396CD495BB746863B9364182E3CFD52642F0142CA3FFDD9

Key	Value
FileName	./usr/share/doc/python-sklearn-doc/stable/_downloads/plot_swissroll.py
FileSize	1446
MD5	6C764C92907310B7717595E840304798
SHA-1	0193A74906128D26183FB66001B61CA5D447B865
SHA-256	5D7791C51D76DD46308EE5B4B799509831C1EEDC2D767C39B78E7E98A39B066D
SSDEEP	24:x2RAnm7PXQ2KQsFe3M/MDyC5NJYTC4aeujm5tSU3+LVJU3+PbYY1+BZjs:xEAn12KED3JLe0atSfJNYYqs
TLSH	T116313F1C2E07B27697A2F0E83E6417DDEB515A009F2044F8B83D68F45381B7CB82D51B

Key	Value
FileName	./usr/lib64/python3.4/site-packages/sklearn/linear_model/tests/test_sgd.py
FileSize	44051
MD5	2A30219204D8A3FDB17710890DF5C022
SHA-1	022C4A0D46C8BE6450F86A4F5A534285740DA850
SHA-256	80967239521C8F49941B2FE639AAAF0FE5F6BEBFC82FDEBF338E49F746C83D9F
SSDEEP	768:gqgGbCeWez6QENuvvCQw0pRHuvt1zvOHy/3M/APJYuzxja2ngbCe+DCihHF02woS:PueWe2zNunCQwIRHulV0j4Z0Ho4ECGFI
TLSH	T17213C86501731F275347443A88BB874F6A066E334D85186DB4BD860CAF8A179B3EFDB8

Key	Value
FileName	./usr/lib64/python3.4/site-packages/sklearn/utils/tests/__pycache__/test_extmath.cpython-34.pyo
FileSize	12845
MD5	B6CCA5DB8C7D853A92D8E9764CDBDE18
SHA-1	028B455639D6F0E04FCD9A0F791326A234350F93
SHA-256	40E63422F8A1F50187A9C8ABDCE9CE72F498E3B4C9967F405EC8BB4A98309952
SSDEEP	384:WudTLABNBJDESBYX5uxBjhBDKHSrkWW9iqKbfp9bXg1A/xVWfr88877L:WudT0B5ES6X5gzpYSQW2iqKbfp9bXgiz
TLSH	T137424D61A7CA8A8FF564F2FAA4B44302EEF6F6582F45674146F1E53D2FC43582C1B248

Key	Value
FileName	./usr/share/doc/python-sklearn-doc/stable/_downloads/plot_cv_diabetes.py
FileSize	2527
MD5	E72038F327EB1E9BE42A89248FDADDEA
SHA-1	02B9832007B41F9CEDC0ADF47E8E74156A7D2F20
SHA-256	5C3E8CB59B8C3592B195A2372E1213A62FD9B27EB7664E8C51CF116BE2953E78
SSDEEP	48:8RSBEU7vtHh44QdkCq1axlZFkmoKCQv73ZIpMm0MNLp:8KLQyCqk7kmzCQTXhMj
TLSH	T1C751740DF1436B711F4A10F4B58990A03BA2927A6D1B7935786DCB5C9786FF20B324BA