1. 16 Apr, 2019 1 commit
  2. 14 Mar, 2019 1 commit
  3. 01 Mar, 2019 1 commit
  4. 11 Feb, 2019 1 commit
  5. 31 Jan, 2019 1 commit
    • Hannah McLaughlin's avatar
      Merge pull request #13718 from lochsh:svm-sigmoid-fix · 41889802
      Hannah McLaughlin authored
      SVM sigmoid kernel fix (issue #13621) (#13718)
      
      * Added test for sigmoid case for retrieving support vectors
      
      * undo unhelpful test
      
      * add test for sigmoid SVM with data that is easily separable into two concentric circles
      
      * Update sigmoid kernel to use tanh(gamma * <x, y> + coef0) instead of -tanh(gamma * <x, y> + coef0)
      
      * remove unnecessary constraint on coef0
      
      * cleanup
      
      * fixing inappropriate use of doubles
      
      * Add f to float literal
      
      * replace CV_Assert with ASSERT_EQ where appropriate
      41889802
  6. 07 Sep, 2018 1 commit
  7. 31 Aug, 2018 1 commit
  8. 18 Aug, 2018 1 commit
  9. 31 Jul, 2018 1 commit
    • luz.paz's avatar
      Misc. typos · 2003eb1b
      luz.paz authored
      Found via `codespell -q 3 -I ../opencv-whitelist.txt --skip="./3rdparty"`
      2003eb1b
  10. 24 Jul, 2018 1 commit
  11. 17 Jul, 2018 1 commit
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  13. 11 May, 2018 1 commit
  14. 04 Apr, 2018 1 commit
  15. 28 Mar, 2018 1 commit
  16. 27 Mar, 2018 1 commit
    • codingforfun's avatar
      #11143 [FIX] Normalize node risk with sample weight sum · 24e2e0d3
      codingforfun authored
      In case of regression trees, node risk is computed as sum of squared
      error. To get a meaningfull value to compare with it needs to be
      normalized to the number of samples in the node (or more generally to
      the sum of sample weights in this node). Otherwise the sum of squared
      error is highly dependend on the number of samples in the node and
      comparision with `regressionAccuracy` parameter is not very meaningful.
      
      After normalization `node_risk` means in fact sample variance for all
      samples in the node, which makes much more sence and seams to be what
      was originaly intended by the code given that node risk is later used as
      a split termination criteria by
      ```
      sqrt(node.node_risk) < params.getRegressionAccuracy()
      ```
      24e2e0d3
  17. 22 Feb, 2018 1 commit
  18. 12 Feb, 2018 1 commit
  19. 22 Dec, 2017 2 commits
  20. 20 Dec, 2017 1 commit
  21. 15 Dec, 2017 3 commits
  22. 28 Nov, 2017 1 commit
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  24. 09 Nov, 2017 1 commit
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  28. 30 Jun, 2017 1 commit
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  30. 27 Jun, 2017 1 commit
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  32. 18 Apr, 2017 1 commit
  33. 23 Mar, 2017 1 commit
    • Julian Tanke's avatar
      export SVM::trainAuto to python #7224 (#8373) · f70cc29e
      Julian Tanke authored
      * export SVM::trainAuto to python #7224
      
      * workaround for ABI compatibility of SVM::trainAuto
      
      * add parameter comments to new SVM::trainAuto function
      
      * Export ParamGrid member variables
      f70cc29e
  34. 28 Feb, 2017 1 commit
    • mrquorr's avatar
      finished for one sample · d8425d88
      mrquorr authored
      Finished with several samples support, need regression testing
      
      Gave a more relevant name to function (getVotes)
      
      Finished implicit implementation
      
      Removed printf, finished regresion testing
      
      Fixed conversion warning
      
      Finished test for Rtrees
      
      Fixed documentation
      
      Initialized variable
      
      Added doxygen documentation
      
      Added parameter name
      d8425d88
  35. 29 Jan, 2017 2 commits
  36. 19 Jan, 2017 1 commit