Key | Value |
---|---|
FileSize | 227248 |
MD5 | 900EBF44473C1A35A147D60FEF73DADA |
PackageDescription | documentation and examples for scikit-learn This package contains documentation and example scripts for python-sklearn. |
PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
PackageName | python-sklearn-doc |
PackageSection | doc |
PackageVersion | 0.22.2.post1+dfsg-5 |
SHA-1 | 000F79FA29B1AC84FCDE0E4526206A1A9995D859 |
SHA-256 | F036D20BF3C14BA526C6C50FE818B26D818218BD5FAAA9F22CE59C551A94FA48 |
hashlookup:children-total | 286 |
hashlookup:trust | 50 |
The searched file hash includes 286 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/examples/svm/plot_svm_margin.py |
FileSize | 2540 |
MD5 | 20F0800268AA3B127A61866BEB151FF0 |
SHA-1 | 001C2B7EF85E6BFACF735090F2C5E656263B182A |
SHA-256 | 800978E1EF0A17DAE6DEA3ECAB717245DEA9CDBA8F649D4E4A2877352DB3E680 |
SSDEEP | 48:CdEGkJVbTOXwNUh6EPXu6HSghmkhslNMftKVGbioWGF:CvQcX186HIkh6Sms |
TLSH | T140517401364C73B09B4381983DE7ADB57761A17F5D80282FB1AD6244CF18BAAD739D8A |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/examples/applications/plot_species_distribution_modeling.py |
FileSize | 7970 |
MD5 | 46FB3C87E92A0D145492F244860459FD |
SHA-1 | 005689838EAB53866B9804164514E5CC80C8E08D |
SHA-256 | A34FA8826C4DE8FA6B695DC1AE85FA4F4EE0B4D12062B4CEF9EF213479E14DD9 |
SSDEEP | 192:ooYmsjw0Kq7Ib808OR2eo+1MWKI1SPPcTzcHF6eVIQ2:4nxh02eo+1tSPMz66eVIQ2 |
TLSH | T1DFF10A27BB453769B74380ACAF9D14C3B737891F99903468B76C80802F1D338EA3EA55 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/examples/applications/plot_face_recognition.py |
FileSize | 5673 |
MD5 | E04463D133077965B621853B417E3976 |
SHA-1 | 01A05E69B658947C8718FF96E63992BD7120AFD8 |
SHA-256 | 95EF36678B93D317074819E512B6EB9FD41AD6CF42BE577F6C95F233494D0C95 |
SSDEEP | 96:/WrdZDdY/G+XcXjnW+eV4fcQAY8vxucweFmVFG6kgIOrzTmd1ljF9bw2sbwnHqlN:erbzeV4fcTY2IcxidksKR93sRlZ5Ey |
TLSH | T128C1B57A7A6B3B71D3A760B9A9EC38B43720504E0DB30515338D42D00BB2F78676399A |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/examples/datasets/plot_random_dataset.py |
FileSize | 2461 |
MD5 | 9089A899F7938B0C9AA5CA03A90828CB |
SHA-1 | 01C8E8799DACEE2BDDB3636EDBDCEE716BFA5486 |
SHA-256 | 2B81C99A205C4E0C97EC65877DFC7E496BE9A287B78744FF5E48CB3689D5B336 |
SSDEEP | 48:w+LrL6y1nb6++Y+K7jr70WO00Fm7A7RK/Z77:wUL6Yb6++YcpK/J |
TLSH | T1D351A046D080D93237A362BB3DB106E11BA3134E9E41580E78BF0BC54BC9F1DB6AD557 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/examples/gaussian_process/plot_gpc.py |
FileSize | 3978 |
MD5 | E81F6F6589233ABDC53402E237DC23DB |
SHA-1 | 0213E171AB8C367159996CDCF77DCDF505BE0A78 |
SHA-256 | DDACFDE464493097C1783C4B1E5CD24A7583F14EDC5508A2F0E8DB4777FF84D8 |
SSDEEP | 96:ks4r6yl/hgjgOwNJkmPvePeLSAezUeiHsHt:Gr1JNJkmHgtAcUVHsN |
TLSH | T11881A41E20CF1972A7E774FEFDDA059122E94A7726C1D12B761E0E583303B3842275AA |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/examples/cluster/plot_segmentation_toy.py |
FileSize | 3450 |
MD5 | DFDD981536B088461A5A08224F8709DA |
SHA-1 | 02AD4749B31F552BF532D29E6B33C9844DA6F971 |
SHA-256 | C4F15DBDAEC241AB409695F24D2C9A8919AC8889B4C30C3D3C1AB1A8885823F2 |
SSDEEP | 48:zwNUENj85oROhkfXB7Xx7fqdktAPdDK/HMonhvCNa:zQUIj8OohUXB7XxuWtAPiT |
TLSH | T14C6142300E06173B7B9190E1488F54F2D796864D4F63C1A8E82D01BD1123F3666EBFC6 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/examples/neighbors/plot_species_kde.py |
FileSize | 4755 |
MD5 | EF91AF51C3E9830EF9E25D696BF9310B |
SHA-1 | 05731CE2B23E118EC874CF70C10E513830203EFD |
SHA-256 | 675DC9C84DAF15B0F7B9210C3B8DAA69C4B928944B56CD59DE76BAEE2B92071D |
SSDEEP | 96:Y4xzf1z2abceXmqvY1QG0WsX1Py1VuQENSSiBDDyCXK99GwxS:Fc+cYms2T0vq7INH0DyhLHS |
TLSH | T100A1D7372904336597D3C0B9AA4E0282F773E51FE76428A476AC50940F1D329E6BFA25 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/examples/model_selection/plot_confusion_matrix.py |
FileSize | 2134 |
MD5 | 8B6CF63A726F7E5D980D5042E388830F |
SHA-1 | 05D62DA038331DEA07B696DA40F1B794A0FABF0A |
SHA-256 | CF4A69C763A724AD226F4A5A89A002CB5ABBAF66BF247911715A60B24FD6B0D9 |
SSDEEP | 48:CS4OA+tJPDUpqJClkO5yGSezYeqOZVdd2cmvd9fhBkoV:CL+tJbBJhQhSezYeqUol9fbkoV |
TLSH | T1DE416719B6402F3143530096E4EE52E0567290AB5EBA5A077BADC6100F02B75F377F61 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/examples/plot_multilabel.py |
FileSize | 4132 |
MD5 | 9EFA1809E30B0EB12EA3F1A79BD3D4E8 |
SHA-1 | 06F65986AE6BE42F1B0F7E1D0A3C640C52347B93 |
SHA-256 | 914A1CF7158564CC0D0687E21722CAB3559D91D85960C9738FF4178842EB2672 |
SSDEEP | 96:dxntyg8lVMdBMsJ0+4KcJXWnHOAiLkMjq7rZVqZTVtG5eyCwd98pJ9/1:DnvcyMsF4nW0kMjUrZAERCwb8pf/1 |
TLSH | T1CD81652198085F729FA3407DA4F909233748552BCE84157FF8BF9A9D0BA536C82B1E67 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/examples/semi_supervised/plot_label_propagation_digits.py |
FileSize | 2942 |
MD5 | BB7CC43A1D061A13CA0389E9A591CBEB |
SHA-1 | 077A74C8FF546F81C67A327DFF9F8C9A32DB96C2 |
SHA-256 | 567C8E4E7E31206E64D8A39391BCC55072E6E2F3431FFC89E4DA25088355AD22 |
SSDEEP | 48:Rbhq1/UCwCocxES2FMwCZHym/4zRNQzNEdrXLcsjp3Kt:RlRoo8ES2FMwCZHymwXQzwrLccAt |
TLSH | T14C51A4383C643F24C7B3003DA29D1E2466A661651ED3B22496ED59118749F3FDB73B32 |