Result for 13F966DEE0A975F7A25B910D03BA7AD754F9804A

Query result

Key	Value
FileSize	934004
MD5	7801A9F64B657F90DAA4C6CFDACE2903
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	NeuroDebian Team <team@neuro.debian.net>
PackageName	python-sklearn
PackageSection	python
PackageVersion	0.14.1-3
SHA-1	13F966DEE0A975F7A25B910D03BA7AD754F9804A
SHA-256	0E39537E14F52DA9D534835DA3673B2ED5B712F6791C94BC365CB9236AF17E62
hashlookup:children-total	291
hashlookup:trust	50

Network graph view

Children (Total: 291)

The searched file hash includes 291 children files known and seen by metalookup. A sample is included below:

Key	Value
FileName	./usr/share/pyshared/sklearn/cross_decomposition/pls_.py
FileSize	28547
MD5	973708B40BB13CD0F9C1AF265C6A89FC
SHA-1	007BB3562115B32309F8591A552823F7205396C8
SHA-256	331E57E8AD0929C27737279B2A18AFDDDC63B0460ECAE32721D9D1BFED2BBCE9
SSDEEP	768:17nmoHV4JLY3BmUiS2RhVX6eH0iXq7nH157uQY/PdoSNSd6/W8nZgxBceHiwte:17l4JLY3BmUuFNpXqbno/loSZ/WJJe
TLSH	T11ED2A6276E132D749383C57315FE691BA72410A3A6D1983939FE81681F0382563FEBDE

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/pyshared/sklearn/neural_network/rbm.py
FileSize	10339
MD5	976387FEF30B2832632560D63C7AFC1E
SHA-1	02B8B3099C2F4233156A588C948E54A4BB0006EE
SHA-256	A77548B5F248030D10EDE5BD90768D069F213AD6BAFAD7CC8B5895A2A663998A
SSDEEP	192:/ubxq3EMtVkg1TVoaDJM1l2YRIBKdT2wh7wU/3MU2h9BMHa+TH2l1ZoAqhPjFCck:/ubxqntVkg1VzM2YH1GvoAkjFCH
TLSH	T19422635BED126A3E16C7D0B260EE9407C76F582786DC51317CEF11A01F52824A2EDEF9

Key	Value
FileName	./usr/share/pyshared/sklearn/cluster/spectral.py
FileSize	19089
MD5	7F39F2175913371EB02C1FC7AD23163A
SHA-1	03C4601BEAD359C5B92ED2D0FA173AB399D8C9FE
SHA-256	E4FAABA262F99730C34B8078D83DACC8BF18776F391D8A9657004B8524E70BE8
SSDEEP	384:M+X/Q0+fEqCC56so+IRrREezf61red3/YV7i/aD6VHnNW5ajWlFYV7wJC1S/a703:M+X/Q0kEqCC56soTPloret/WW/aD6741
TLSH	T17582D739394262379C87E09289FE20A68364058F8F537455B99DC6281F13E7873BEFD5

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/share/pyshared/sklearn/qda.py
FileSize	7789
MD5	F6950D09279A081479F7C508CF8F4730
SHA-1	04595087D9D153126776EBE51C2DFC16BCCC0AF9
SHA-256	C3ABE012388B1D98F7ECEBAC9CE38745E4EE94630F8B8870C0E770459EB51280
SSDEEP	192:PaLv1RYuHWj7GPgi0WYHE5L7lxN/fAjfZ8:ArYqW2PgV5I7pm8
TLSH	T106F1211BBD011A7E5B87D0B7D0EEC017E76C08979684502A38FF97052F514A992FDEAC

Key	Value
FileName	./usr/share/pyshared/sklearn/utils/testing.py
FileSize	11797
MD5	9A918EE6BD8FB3F45215729F9DAB64B2
SHA-1	065FA24899DAFF830220DBACD93FD375AEE2AAB8
SHA-256	626174E60DBAD6E4B1DE2A7D7EA6FD73B3B518570BC458BBF282D0653B59D841
SSDEEP	96:lxV8XosXkQ/l+qfOuetssmFhksmFW7qAvoWDvZDeVdZoKf6nMmgkMFEEikcga5c0:KNFSguAvjjyJJkvXbAaR3HJam
TLSH	T1DB32940ABB2669358593F5F9189D90116B94BB2B06102476B4FCC2783F85938D7F37BC

Key	Value
FileName	./usr/share/pyshared/sklearn/feature_extraction/tests/test_image.py
FileSize	10177
MD5	27CF190A976A168FDF1107F6C167D6A3
SHA-1	066774DDCF0757824DF9C8C97F0C6E19FA56F175
SHA-256	F334C9ACBC988D5E651C5AD591AFC37E3A66D1966E29DFA8552D8EFD4D3CB20E
SSDEEP	192:VXDIlwp8W2HvPqV8gl2lMl4lBrQlhQl1lQxRxlgl/vrbCy/zszjRr:dDIip8W2n+QuCLrQ/QnKxRxOdTYzjB
TLSH	T1342252FA18ED607AF28360CAC39FDC0A51179B6B5B6341557EAD0510AF4C568C2B2EFC

Key	Value
FileName	./usr/share/pyshared/sklearn/tests/test_dummy.py
FileSize	5792
MD5	4A900AED8A43219D4CC3C6894F6ED3D6
SHA-1	069C3CB7491771A0D239E26808492043DDA5DBD7
SHA-256	7FB2B2E3CD9673192DE41687E7377B6A5E5B4C5E7F26C92BAC718C2D1A450073
SSDEEP	96:rAVvPCYHe3vsRL1/a/srShrCQrb9/i2K9hNvdxMRdv9PyxoxMfSAnh5exi6fsEn+:cRuBvYxXxK9xOh58VfjnnQVGM
TLSH	T10AC1C031E2B60A356317D5BE88FA851A22155E130D841C7DF1BECD015F691AC23B79FC

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