Result for A733081046A9F2578A1645BDB642B5D10306B4D8

Query result

Key	Value
FileSize	1170636
MD5	133EE2618D9C2EAE052563A50D2A305A
PackageDescription	Python modules for machine learning and data mining scikit-learn is a collection of Python modules relevant to machine/statistical learning and data mining. Non-exhaustive list of included functionality: - Gaussian Mixture Models - Manifold learning - kNN - SVM (via LIBSVM)
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python-sklearn
PackageSection	python
PackageVersion	0.17.0-4
SHA-1	A733081046A9F2578A1645BDB642B5D10306B4D8
SHA-256	73CF1C6E22AAAE852C9C8537C2587FFF24A4A6245E201959CED05C414C43BB9A
hashlookup:children-total	336
hashlookup:trust	50

Network graph view

Children (Total: 336)

The searched file hash includes 336 children files known and seen by metalookup. A sample is included below:

Key	Value
FileName	./usr/lib/python3/dist-packages/sklearn/kernel_approximation.py
FileSize	17973
MD5	2B4730A91CB8ED5575D1EF4A7BE5B252
SHA-1	0028A347DC05248423B93A39EEF5E0178F8BBCFD
SHA-256	F37397D32AA3E5C3C1694E45926566E58A79C9AEE42422CA093480A57798FDDD
SSDEEP	384:5Em1dK784+WzgQ4rUtOlgPYY77u7q7EvRdYJ5aKcMatdI0uow3u:5z1dKYhWzLoUtdv40EZdrMatdI0uoku
TLSH	T1DC829415BD410A2D23C7C47221FE9643EE691463519610377EAD83982FA3C74F2AEFC5

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/lib/python3/dist-packages/sklearn/feature_selection/variance_threshold.py
FileSize	2594
MD5	9062DD0314FFFBFBA3AE6A19467EE813
SHA-1	023D35A24900085224860FF4B84E53A8ABF5D2B2
SHA-256	DA4F57333555985298D6F7C66232693B1747E60FCEDBA3D38F1F43E12F79C70C
SSDEEP	48:u2tg6W0NIaj15Gq/hr0uI1qDEAjKpSTqVKQ2tA2QZQXd:u2m6RNIavn/hr0uDEAjBTqVKLvQaXd
TLSH	T1CD51030EEE164F1C6287C2F304CD6843CA5B496F8798683538BE72552F8056612EE6DA

Key	Value
FileName	./usr/lib/python3/dist-packages/sklearn/metrics/tests/test_classification.py
FileSize	49781
MD5	F22FDFDDE068FFC1EBC91AA9091E9E74
SHA-1	037C31250F6715D4BE70DCF5C1D924F42858B0F0
SHA-256	94E29AC1EB85CF4CC956A1A69DCAAA21B9C7D6D599AC7B2E2DF1DE49450C2847
SSDEEP	384:tZNya1R5dVO+1MGfasxbMfQNO+quj07EAJKKULoZ4Iiui1L5TsUaII6LKbQ/eY:tfyaVdKGfaANbK1Z4IiuILJ1aIdLKlY
TLSH	T159238621FE430D24530BA1AE74F608191767AB374C85144AB87ECA946FCE76D76B28BC

Key	Value
FileName	snap-hashlookup-import/lib/python3.5/site-packages/sklearn/datasets/data/boston_house_prices.csv
FileSize	34741
MD5	4F2F20AB8094D40E043FB575CFF5DCEB
SHA-1	03C8B6B944A81D2615514F6C098B14F6C59BEEDE
SHA-256	7796A48B7B1A203EB4BCC180097289A496EE5B1F0018A935192AFD1AFAEECA8E
SHA-512	BAD6C81AB5C8D6591F5F999246E760461B87BBE5E1C3EDACC41177C8F72D1084F28732230028FD7B81D36B21825BDD6F3A25B149022A58CDAC3337E77155D3F2
SSDEEP	768:YOA878aSaM73XCaoKTxCDNOZpc76onXMwQjHl6eov:484aqSaoKTxCDNOZu7VR
TLSH	T14EF2A676137B16CCF2408A1C9622394126F1ED2E7834E6889F4B946EE81DCF79574EB3
insert-timestamp	1721655505.5531995
mimetype	application/csv
source	snap:UXtarunTOMdX6KuVJXcYFrsrsojJ3LH0_3

Key	Value
FileName	./usr/lib/python3/dist-packages/sklearn/utils/testing.py
FileSize	26970
MD5	BDB1531E083A002A715E9FCF881D50B7
SHA-1	057F2563E16E484E3531C837DB4C79B98020FDD2
SHA-256	7B9B36D87E0CFC0351AAACC2BBC6B3295B0FC476B0270E846F356A7CF096B7CE
SSDEEP	192:HK2yFqyUafMwAtNULXH9ctYmLECkmVMnvW25GGEV1dRpb2jKIJJETAFKXbEaRBQB:H+qy0UniDRpqETJLRBQ1vyTdyT8fFCZ
TLSH	T1A9C2CA57BE225D258543F4F9589EA0126B99BD1B06003479B8ECC2693F89938C3F77BC

Key	Value
FileName	./usr/lib/python3/dist-packages/sklearn/tests/test_check_build.py
FileSize	288
MD5	3C4E6A22859E4953B01BDAA832BDE186
SHA-1	07291CAA4C406BAB239514B42EF4890C190383E9
SHA-256	373ADA023D462E2784E23A5D3A6E15CD1EB64FE77CEA117DFA7C95F0F7AE38A8
SSDEEP	6:O+AFGUhpPDz0bbEvlD6VEv0uBuVJP7PvUjVXXBSX4R6wXw:O+AnobbylmVyNBuVJbUjVhk4ciw
TLSH	T1B6D0CD391CF91E03001B055F093542D3CAF20E352B50BC787CB44E6323436098F530B0

Key	Value
FileName	./usr/lib/python3/dist-packages/sklearn/utils/setup.py
FileSize	2884
MD5	7419797E0B7918965B55A8845FA72E73
SHA-1	0815BA0CAF8D3BB937FA296EB5D289952570D0ED
SHA-256	1EF4A437A111857C3F93D11F868DB7399164CCBF8D49FFC405C32825C5281A34
SSDEEP	48:7qxhBW+p5d+JHi5ZjabkbHb1YffuR6cxfUWXA5NxfnbPBqvFWXKWqcaVBX/:7qxxTcJH0BPbJrR6cKWidb0vFW6WqcU/
TLSH	T18B51AE26862D1D1262B94B31CC0F81464A2D7A539A1235DC3AAC371D6FAD51D73336B9

Key	Value
FileName	./usr/lib/python3/dist-packages/sklearn/utils/optimize.py
FileSize	5674
MD5	C851F4C77A333D4BB9016B43FA83786B
SHA-1	0824A93F4419D857793E32253DDFE950DB3BF462
SHA-256	3B92F124AD1776077DC882C8ADFADC99B92DA6DFCE1F46345D9FA9A72810143C
SSDEEP	96:T76+Ura2RtNlm1Iro3dmMYWSWaVopjpuuEv0ywhsVNJky6xWPuV5B6XnAh/P4bjC:T75Ur/RI1IrEaRXoj8uEv0PGn6yG55BH
TLSH	T19AC1A74A8B086B724B23D576C8EBA122CF30CC676642E020B5CDD5845F178E943BDEAD

Key	Value
FileName	./usr/lib/python3/dist-packages/sklearn/tests/test_calibration.py
FileSize	12288
MD5	A799793385BD686269993A7B72A47D2E
SHA-1	09223D8A97EC6AEEC09FD7C3885B0991501DF91E
SHA-256	E4F37D1D717356DC73C4FA3833F0A74191A2113989A2C8956904C3D5B760BB64
SSDEEP	192:yHKGnjmkWC/Qza0dVoziJWNHhijR4AFyFRpDAm4ntzQM:gKGnjmkWC/Qza0dVoziJSHhijR4AFyFo
TLSH	T187424317E5173B26B33B717D04A7905C2564B3230C81147E7ABFC5191F8A0AAB3A7B6A