Key | Value |
---|---|
FileSize | 40038052 |
MD5 | 97F5F0AF525FBF65B2A74523C14888B5 |
PackageDescription | documentation and examples for scikit-learn This package contains documentation and example scripts for python-sklearn. |
PackageMaintainer | Debian Science Team <debian-science-maintainers@lists.alioth.debian.org> |
PackageName | python-sklearn-doc |
PackageSection | doc |
PackageVersion | 0.20.2+dfsg-6 |
SHA-1 | 3B5FA592624CB99E08DA44CA36B624A73989FCEF |
SHA-256 | C4738EE599393924A559B1C10174DA1DB3C35BF0EE2F142C028CCBA0F8D9BF5D |
hashlookup:children-total | 2753 |
hashlookup:trust | 50 |
The searched file hash includes 2753 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/stable/_images/sphx_glr_plot_classification_probability_001.png |
FileSize | 168786 |
MD5 | 1A8F641976752DBF747E6C61D62E52B6 |
SHA-1 | 0016F73C31062AFAA5A0EF1558F9E5D68CA44C56 |
SHA-256 | E1248568A4C985A829D926462C502724AD368BFFAFFC16C93DDB4D9CF6D9CABD |
SSDEEP | 3072:LEXxhCQbvewB1Nfab76NYYjtDyqffR7BpJ5uGlaQPefrRxt:8UQbveA11G76t2UNBt3aQP+rRr |
TLSH | T151F31258E886CA2B75AA58B0014E1519C33EE645ED7E46B0FE0E32185FCE13CDC7466E |
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/stable/_sources/modules/generated/sklearn.model_selection.check_cv.rst.txt |
FileSize | 268 |
MD5 | 8E05EA0BAB6C4F13E85773EBDD88684B |
SHA-1 | 0024E8A3C1335B083D66D736128EB277D0999BE9 |
SHA-256 | 2879393592E47AD5C516F36439A7CCA631A4F96053BCAF02FD33B878A926B063 |
SSDEEP | 3:PrWOO+/luGAy51YYJ6BFrvluGHFPKKbK018HeA3s0vluGaNAZdAGUzF7iZ694fF3:zJbFYYurvBJpb1yeAc0vu/l+ |
TLSH | T1E0D0A70471342FE104BE000DFFD9A2D608F7150472112D5111B466930B54F68D84790A |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/stable/_images/sphx_glr_plot_concentration_prior_0021.png |
FileSize | 208942 |
MD5 | 7CB8C9561BF66841A07E2D809BACDFE3 |
SHA-1 | 0058E18DC31DDF38B980CF91280EAE32C219B101 |
SHA-256 | 4840BF2AF5EC7B1263C9F2F608AFB858E1EDD44B0529FE4F72B80450D6B231A4 |
SSDEEP | 6144:uLnHrQhP8Qq0Z6TsFSqv8hC4itsRYXzYsba:oQhP8L0a8S4ShsG |
TLSH | T1401412C9D35AC93EFEBE4438D46F4DD85028A2A15229927373729D000DF6D3A7DC9D4A |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/stable/_images/sphx_glr_plot_kernel_ridge_regression_0021.png |
FileSize | 43607 |
MD5 | FC949E70C9B9A8D01D884D9AE8EE59EE |
SHA-1 | 0068D8872D32DE4C30E1B28254D8F677D6E89F89 |
SHA-256 | E7FFC81EA4C82942140A96FC4EB9E3FF15A9A48C1C22E3B5A501054F33231713 |
SSDEEP | 768:fuUKUIEUEc7ffyXvCZXVld/hAEBxTgfRbfDKM3tbBLueB5bRLXXRVtic:fuUKUIEUEc7WvAb/hAE3gbJLNBh5RF |
TLSH | T1B013E03A6244CE46FF27017A733B532BD9D2C54E84DCB7984C65F9442E82F2A9158BCA |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/stable/_downloads/6e53d259aab6a2d1037218ccba90ef61/plot_separating_hyperplane.ipynb |
FileSize | 2331 |
MD5 | 78CAC78A315DFA962CDD03FF5C2D5B05 |
SHA-1 | 007434812366409867AA1B9C78404F5543D9FE75 |
SHA-256 | 059568E42E3DFD28D870E7B6469BA5E835F31E6294BB23972BE6ADB4BAD5C5F7 |
SSDEEP | 48:u41YO9uihdzEYvFvNtgBC6KNvvyZQXg5ObE:5YO9HdzM8Lt0Q2OQ |
TLSH | T143415718F8A0AC3307DB602814ED46836AB161578E442D5F7B2C1FCC0F1EB5E9139F59 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/stable/_downloads/097a5bab5a9289f90eb4bcc36016f1cc/plot_model_complexity_influence.py |
FileSize | 6385 |
MD5 | 4E8835DAC5EC3194427AFC9D8427C611 |
SHA-1 | 007C8D49914CDFDA25D403C842BFD60BE84C4795 |
SHA-256 | F470ECD4EDFF5EF45EEEB9746BA24D16ECB94567C31863C43878554CD84A6C6C |
SSDEEP | 96:1s06YlzWBqlMiwybKvwEhrZAVEZbOs+X/0xIQtSPwLjZTxECJSswe9DOlzO7x/nF:H6SaENXC5SELQGPwOQwdNBAE |
TLSH | T19BD19522F817B9739BA7F47D46CE101B122011C76C4B9438B69C8A490F9E76CD6F7A39 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/stable/_sources/modules/generated/sklearn.naive_bayes.ComplementNB.rst.txt |
FileSize | 296 |
MD5 | 48C20E60E2C7F8F118017DC0EA8C761D |
SHA-1 | 008C708A218FD6A74F86563666EC3040EC690AF5 |
SHA-256 | CF09CC6A2A09BC9F5291D3B964668D1461F2882278F767D8ACE4E1973B74D832 |
SSDEEP | 6:zJbHsZAlDM/rvHL+Ejc2AlDWEQIgAc0vHunAlnAfVpl+:zJHCAovHL+EjrAIEXc0vHunAsVu |
TLSH | T15AE0A7033466199381BE200D9759B0CC0CCBA74DE1440D9D1964D4818A95F55BD5F92A |
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/modules/generated/sklearn.metrics.silhouette_samples.html |
FileSize | 15409 |
MD5 | 67339E2E92DE57BC46BE70290345018A |
SHA-1 | 010AB080D8DDDD99A672B2693AF0CEF4B6E847A6 |
SHA-256 | B17AC615CD0BF785D5229C23F1FD94E362E6F3A890BB48A360FA2D730D798A1F |
SSDEEP | 192:WvWpqh3YucZCPxOHoLMvyv9qrvA0BIh1hPdX9N0hFjEdUuO:Sy6PG7KvcrvAGIh1LNN2EdUuO |
TLSH | T15162C7525DF05273056381CCEEB4AB2DFAC28817E4411C65F4EC4BAA8FC3FD85A1B51A |