Key | Value |
---|---|
FileSize | 5021320 |
MD5 | 363D8F2EB07034E13D36E0F479962FF6 |
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 | 0.19.1-3 |
SHA-1 | FE045BA64B682A95428CDFD4F14A32E692049A16 |
SHA-256 | CBF0D33F2A1F654C39BC9612723B83CE071793BFD1AC0FAD7D93FE84E14DFC0B |
hashlookup:children-total | 2108 |
hashlookup:trust | 50 |
The searched file hash includes 2108 children files known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/stable/modules/generated/sklearn.model_selection.LeavePOut.html |
FileSize | 19830 |
MD5 | 224D8D137C24AF9CEBAA55C514D7C677 |
SHA-1 | 0003D6CA80E21EAA9BD516676D342323092F3C01 |
SHA-256 | CC0AB73AAC184C8BBD74648ED3CC21F8591A288D954E221A61D235FD2A66F692 |
SSDEEP | 384:J4BBmfrpJQm/TF7irq5sXYrq5CNnGnLPQuO:J4BarpsrgsIrgCNGLPQ9 |
TLSH | T135924191E8F28673023B81CA5AFD0B35B9E2441BE4411805B6FC9B7E4FCED907A1791B |
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/auto_examples/covariance/plot_covariance_estimation.html |
FileSize | 26901 |
MD5 | 2344F226C0C0FED2B3C3E6A21C346E46 |
SHA-1 | 0023B5F7321DE860EB3D28921B1A39DF58ABCFD3 |
SHA-256 | 8600E0CD5A701809D5049262EAF65F8105336F141E053624460F834BE6548DF9 |
SSDEEP | 192:BTr+qNpqL3Yfu1kx/x2MDmDEptM2rCamMYGfA5lHFl02Fl0hFl0+FBFljFM8K3H0:BTaq3I2x/x2MDCEbLrhEGf9IZIfKwuO |
TLSH | T1ABC2BAD1EAF68133023795C322BE4B36B5E1486AE8970400B7FD977947DCE8479439AE |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/stable/_downloads/plot_sparse_coding.py |
FileSize | 4016 |
MD5 | 86940F05099D7FF4A841CA9116B353E9 |
SHA-1 | 00249D0058A40145B7D8361D2D80BFF681A18F0B |
SHA-256 | F3D90B5F02EBA75A889A2112256DD4B353F72AFDA49C08427B567898E9B98265 |
SSDEEP | 96:KgEt53AQn+R3zB4nkzxDdTQrjE0eoO09cWpdO6c99IRZ4:Mfli4nkz5dTQr4dW9cWTOv9Sz4 |
TLSH | T16E817612EA091212471B013499F38F0973281546678324AAF60F22A43F4B75FD7FF78B |
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/_downloads/plot_model_complexity_influence.ipynb.gz |
FileSize | 2393 |
MD5 | 11DA20B9AC53809AD7BD4CA904FA39E4 |
SHA-1 | 00397BEE24F578A9568809896A93824432D1934D |
SHA-256 | 319ADC0297D937D3B2BEDB38F565E352A79D13BF5EA9D77AFEEA85C4E2EF49E3 |
SSDEEP | 48:X+mwBvx8EWZdi3IZegeVO//F+yoD+wxl1xGWt8A+wUIo2LOu:OrvEs3Weg+9iwf/sA+wm2LB |
TLSH | T1D3415D3555CDA55C59323CF8970E9CEA6F20F23769229306436F49C3970E8972F6603B |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/stable/_sources/auto_examples/cluster/plot_cluster_comparison.rst.txt |
FileSize | 7739 |
MD5 | D9F3F09CE0B86C463C06D17557806D99 |
SHA-1 | 007D8377E7BC724540B13C026EBEBCC98FD8F40A |
SHA-256 | FC076A0786F356C065324E5669E9B7E1FC7C98614FAD3A8EBFB079F24822A153 |
SSDEEP | 96:QvL+20UDeGA7pA5t8yBkH4enMnfcL39rXTcQEjiMRSSvT7GMYkS/zED6dgFGb9sl:EX7mqkyBkH4KMfArXzmIX+iUGZFG1FGa |
TLSH | T11BF143327B018575AF93B0DA9DFB01B93744605B2B9164ADB45CCB244F1AF38B3B2A53 |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/stable/_sources/auto_examples/text/document_classification_20newsgroups.rst.txt |
FileSize | 12466 |
MD5 | 7461D89B108C1D4E966415916B6E3909 |
SHA-1 | 007EDBAF4A37C60F54B84F23F7BB1F9DEF71A9ED |
SHA-256 | FBDECB1CE4963DC0AE563B83F1FC4BF7B3DB91CDB64AE23D73742CC2A5250DCC |
SSDEEP | 192:9hBlpFinBFaK0jnycemwDr9IAUCC9OnWjWCWfBWWW6d9P9cs0W7FGTFGa:9/lLinvaK0XemwDr1Vv3nmsJFeFB |
TLSH | T1A142C71B2C461D22D3E370EC6E8654613B67566B8D57343DBEDC82041FC073AA6B7A2E |
Key | Value |
---|---|
FileName | ./usr/share/doc/python-sklearn-doc/stable/modules/generated/sklearn.model_selection.LeaveOneGroupOut.html |
FileSize | 20043 |
MD5 | 4C932E5F4A0A2DA9798D9BF788A93222 |
SHA-1 | 0080435803B7CC3E5A21AA3897C371E1716E219D |
SHA-256 | EAA512FB7DE8482B57856D9A2AA260405ABAFA802B606CEBCC33BA0239177540 |
SSDEEP | 384:GbBnnmBZDyd7yrGEhmxYrq5CNnGnLMauO:GbBmvrGEhm2rgCNGLMa9 |
TLSH | T13C920085E9F28573013785CA1AFE1B36B5E2441BE4810841B6FC9BBA4BCED407E1796F |
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 |