Key | Value |
---|---|
FileSize | 4719514 |
MD5 | 95428AE11D32029CEBA2E9A14A9D4C76 |
PackageDescription | documentation and examples for scikit-learn This package contains documentation and example scripts for python-sklearn. |
PackageMaintainer | NeuroDebian Team <team@neuro.debian.net> |
PackageName | python-sklearn-doc |
PackageSection | doc |
PackageVersion | 0.18-5 |
SHA-1 | 858ADB4EB79C042F93BB3DD693F77594FD561AC1 |
SHA-256 | D7D719D422F006C23D1FCDA55AF881712FDA7B8CAAD19E3F257E64EDF491F3C3 |
hashlookup:children-total | 1957 |
hashlookup:trust | 50 |
The searched file hash includes 1957 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/stable/auto_examples/linear_model/plot_logistic_multinomial.html |
FileSize | 22020 |
MD5 | 3485B2E0B5BBF1648287967F5FCC6FD4 |
SHA-1 | 002C993B34CE030C7A2AF73B8E6815323417878A |
SHA-256 | AE11D4A322C5280DC869219466BB02502F61A09C724E5AD8C2ECB56485783BE1 |
SSDEEP | 192:B//Repqr3Y2uskW1jJtCLkhE2gbD+FA7hrBGljCu19Dvkd8mvhd4FP9ca9fnq1YW:B/kvvW1jJtVkTfP |
TLSH | T127A267D1E9FA81330137D4C716FE0B36B5E2482AE5860801B3FD97B84BECD4479579AA |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/stable/auto_examples/mixture/plot_gmm_sin.html |
FileSize | 33529 |
MD5 | B854FD1EC63147E6B9459EAC84923E80 |
SHA-1 | 00385F38BAD39C0F4C0D18661171E26A2990C334 |
SHA-256 | 0E0E30FFF7B3977AB31C57B83922536BB8EB11A77B381556A96E95B5ADE4B3CD |
SSDEEP | 384:evvvrenolXkHQ1rncHQ3oRmZBdXroeCQo:evnrenqXkHQxncHQKmZBdXroeCQo |
TLSH | T18EE221D0E9FA81330177D4C356BE0B26B4F1486AE4860401B3FD97BC4BECE9479579AA |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/stable/_downloads/plot_gpr_noisy.py |
FileSize | 3778 |
MD5 | 88839222433CEE3407D961091C1B96FB |
SHA-1 | 007DA8043E6B3682E0C365E9880E4A8238ACD36E |
SHA-256 | E74B3B8B2DCA81F5CE67F15476EEEE2EC44B371EF35843B3AC6112BAE6A1F298 |
SSDEEP | 96:OpGiKPytOyhPJUBtgUxPyLcBGgUxPyLcUfelwlewJT:OP1oYUBucQBucUfelmJT |
TLSH | T12471862532FF262E574390B57CDB216127A48E7E9E01A8B2791F8B681702FAC85770C7 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/stable/_sources/modules/generated/sklearn.metrics.v_measure_score.rst.txt |
FileSize | 264 |
MD5 | 2328A1CC5F132816FE82C033910AAEEA |
SHA-1 | 0095CFDA066626A5692AE2E96660174901123748 |
SHA-256 | F35284C570EC629AF83E03D5800EEBF40F7C850081172D3B07F0A03A756D0494 |
SSDEEP | 3:PrWOO+/2n64YSYz6BFrvcTCEKKbKhRvLKlA3s0vzVEIjzF7iZ694fF3:zJbqMQrvjEpbyRvelAc0vzVE8l+ |
TLSH | T182D0A90A7AAA0967827500A8F84AF4C80EEF1F88F5024115780094E98FC6BCC882AD2D |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/stable/_sources/auto_examples/cluster/plot_face_compress.txt |
FileSize | 3080 |
MD5 | BA08737A7A5711D597BD86F8CFCE1938 |
SHA-1 | 00C724CDE85EAB1A746758C8ED68B26B07368167 |
SHA-256 | 90493B040B0B8EEF30C52766AAECF0FDCB8E83853CAA266950C52306A6D679C5 |
SSDEEP | 96:QIJzMwL86BihwYQB03JbScfEWFVx5WFosjv:xJzaQYwYQB05GQFQFhr |
TLSH | T1C45142676FAE6314CB13E0182F6B87963680001B661054FDF22E86262F61F7DDBADD4D |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/stable/modules/generated/sklearn.pipeline.FeatureUnion.html |
FileSize | 22363 |
MD5 | E87BC93CF36567D8FDF750E5C2D79E27 |
SHA-1 | 00F7FB8B82ECB036B895B7A4295CF4C2B9B294A6 |
SHA-256 | 3FE66B8166E455932932C5C70999B4FE9466E74527BF9A3E3F700B3B97937E27 |
SSDEEP | 384:H5KfrMXr080g2g3wMQrLiOrniyVB58qr26bhrOyVBUEkUER4:H5KfSr0zlrLiOrniyf58qr1bhrOyfgF4 |
TLSH | T12DA2951A9CE01633042742DD8AE80F29BAD68A1BF4410C99F5ECDF6F8BC7E856617717 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/stable/_sources/modules/generated/sklearn.neighbors.kneighbors_graph.rst.txt |
FileSize | 276 |
MD5 | F183898F5D9BE1102DA32B1777375833 |
SHA-1 | 016E90621A6CE9AE51D1A369A50751D20E5F74A0 |
SHA-256 | B2253A515C297C078126B50F591A89AA96A1991DFFA6B02A73FFC58E7581084B |
SSDEEP | 3:PrWOO+/1CN1LJMoJA6BFrv1CNfv/+EKKbK8IVJvA3s0v1CNmoJJVzF7iZ694fF3:zJbHoJDrvREpbqJvAc0v4Jjl+ |
TLSH | T1DCD0A73571350913E873100FDA09B1CD9DDBDF447543CD78501CC4C18AC4B0CAB29D05 |
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/share/doc/python-sklearn-doc/stable/modules/generated/sklearn.preprocessing.Binarizer.html |
FileSize | 19184 |
MD5 | EFDDB19BBDF53FF674D3138032351959 |
SHA-1 | 01AD6F079D45F1BCF78BA1CD397701CC2B6F0213 |
SHA-256 | EE81A74AD6478B52C4A8EECD4ED0CE6E8BC35737521DB60FD72C707BE02C55A3 |
SSDEEP | 192:i5X7pqr3Y2CHpU2f7r16m4Ud6r8YflbdJrrV4TPr264T7gO7X2rhj8:i5FfZf7rUmrd6r8MrrV0r26wgOirF8 |
TLSH | T10882631698E00A33051742CC9BBC5B26FBD2891BF1110C99F9FCCF6A8FC6E985627657 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/stable/modules/generated/sklearn.datasets.make_s_curve.html |
FileSize | 11721 |
MD5 | 93C68D70AF37E70E270C5389EDB2FD34 |
SHA-1 | 01DA12F721706A6A19494D236E984212AF92C40A |
SHA-256 | 0DFB523925A1691B507CE6A3FA3EF26269DF2E4F5D44E839599BE2842B2711A0 |
SSDEEP | 96:gnMfN9CMXCACS5SpqDJH13Yd85fGyY3X7FdQpX4qS1HO4YyE96C9MitEucurri/2:P5X4pqr3Y2CH+8C/rU1PVAOEjH |
TLSH | T144328406ADE09277012386CCA9BC5B2ABBE24A07E4451C44F4FC8BAADF87E455F1714B |