| Key | Value |
|---|---|
| FileSize | 4041080 |
| MD5 | B9D9E23E157631E2BB19C8CAFBDD118C |
| 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 | 0.17.0-4 |
| SHA-1 | 9AAB200F2C6E3C1FE78D66F7FA034383962AE15D |
| SHA-256 | F4B6B9CE05D41A66CD4A52661559F0EAF3BA83A8417C491B7E099DE2E9535A6D |
| hashlookup:children-total | 1599 |
| hashlookup:trust | 50 |
The searched file hash includes 1599 children files known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-sklearn-doc/stable/_sources/auto_examples/svm/plot_iris.txt |
| FileSize | 1522 |
| MD5 | 13BFAF9ACF09728C384699B702FF5B0A |
| SHA-1 | 001757F1576D8EC59A251048FACB3A85A1B65EF4 |
| SHA-256 | CC7D4B71A0262C20AAC66E7ABB5AABBF88C95A4C784A8F01AF78203F45AE9D9F |
| SSDEEP | 24:zHfXp324nrzM/cr2LebDdtKYTK6+yfeZksXqXCEU/Vus9WNRSd5y/JRcXObX/:zHfXp324ro/VstpPc0C1E5kyxRcXu/ |
| TLSH | T18131651B32507F3B437A0068F57B179BB018623ABEA2A161AAF457503641F9F412F5E9 |
| 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/_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/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/_static/up-pressed.png |
| FileSize | 345 |
| MD5 | 8528348E2B1AD8968C49DD4F4B4487AA |
| SHA-1 | 018324D4289006DFC12F5929F586F5FC77DED874 |
| SHA-256 | E0564F13C44D3BFFAD486BBA879956FB1A5AC93952C99B5A3420AB4F04AEF547 |
| SSDEEP | 6:6v/lhPfp8RFk6EW4N+kiccccccccccccccccccccccylAO739JO858SBf/HC+/2P:6v/7uK6EVeOe8CYHf22QSQ |
| TLSH | T124E0EB86F1249C19DC10C023070E14E298A2328C88A3C20084BD8015AC01F0C04D3D2F |
| 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/auto_examples/datasets/plot_random_multilabel_dataset.html |
| FileSize | 21077 |
| MD5 | DD2A2717F7B61DA00628FDB01E66B5D3 |
| SHA-1 | 01B3DA4FA50B587526DB4EE52833BDD44A5EC0CA |
| SHA-256 | 476A83E01D1157A28B77F5BDAA9E2F512D0BE42D288B01BEAD5191FC2BF1DB70 |
| SSDEEP | 192:/q5j3YDu2AfXFdoCYFONfFlV+Nx60hLUuBtMm6W5SK6e4iVE4ket1EX5rcjWwRF8:/y2Sbys |
| TLSH | T12B9294D5EAFA9137017384C766FE0B36B4F1582AE5860800B7FD87784BECE44781396A |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-sklearn-doc/stable/auto_examples/model_selection/plot_confusion_matrix.html |
| FileSize | 16803 |
| MD5 | A9CB96FFFCF2D57C75201EADE83E32FB |
| SHA-1 | 01C93D93602578CE611EB903EA1E8D0EE3262630 |
| SHA-256 | D470D628E291C5A9053BE228A3066EAC00CBD77347390C46C23C43BAA3DE87E8 |
| SSDEEP | 192:Xq2eTfj3YDu2dCAJNJTdepAEp6Psz2D2kCXasSXIJyNIjDDyVs0RvxTnFkazQzh5:XcxGCAJNJTdepAq6xODeoZFMaB |
| TLSH | T14472FCD1E9F68137413384C752FE0B35B4F2486AE4921801B6FD87788BDDE843A579AE |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-sklearn-doc/stable/_sources/auto_examples/neighbors/plot_approximate_nearest_neighbors_hyperparameters.txt |
| FileSize | 1320 |
| MD5 | C438BAB431D8A350B457C1A05F96DD8E |
| SHA-1 | 01CAED911167DD87F6561505F132204115DC405B |
| SHA-256 | A90870FBAA4068ED4980E215C39C6B1099D55CB6478570DA202FA332B745A6A5 |
| SSDEEP | 24:+4HEpIpvU10htLYMvSCW5/1h2eMrPDlRr3dc7v+WbIeAJPvpTGy/JRTH+HYbcHdN:5kh10haASCW5/n2esLlRBc79bIeAJXpK |
| TLSH | T1BC21C03193441632DF75032BBA2CA2CC8E828566B2D908D670BC01391343F6E977DB88 |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-sklearn-doc/stable/_sources/modules/generated/sklearn.feature_selection.SelectFwe.rst.txt |
| FileSize | 308 |
| MD5 | E8DC8A622109AC43254DA21C87C45371 |
| SHA-1 | 01E3B7D735EDD8182977A53CE31D4FFF2EEEDBAD |
| SHA-256 | 0D6B0848AC122AF6BCE497615DE0D21C946E27085E4C8C0C116E59900F27E48E |
| SSDEEP | 3:PrWOO+/0QCR9JA0SAvrYV6BFrv0QCRHFPKe/xArSAvdFDL+EKzf6KivN/eA3s0v0:zJb+J50CrvYJjGX18EQIgAc0veXSl+ |
| TLSH | T1E3E02E0A30322F36803F802F88EDACE42CFA188CE210005EA46887CC8EC4F12988750B |