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382 Commits

Author SHA1 Message Date
Alexander Alekhin
ca8c3dd9b5 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2021-03-22 12:05:23 +00:00
Alexander Alekhin
7664e6d090 ml: use OpenCV license header for logistic regression 2021-03-17 20:29:52 +00:00
Alexander Alekhin
5c76f99fdd Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2020-09-05 19:37:38 +00:00
Danny
c31164bf1e
Merge pull request #18126 from danielenricocahall:add-oob-error-sample-weighting 
Account for sample weights in calculating OOB Error

* account for sample weights in oob error calculation

* redefine oob error functions

* fix ABI compatibility
 2020-09-05 18:52:10 +00:00
Danny
20b23da8e2
Merge pull request #18061 from danielenricocahall:fix-kd-tree 
Fix KD Tree kNN Implementation

* Make KDTree mode in kNN functional

remove docs and revert change

Make KDTree mode in kNN functional

spacing

Make KDTree mode in kNN functional

fix window compilations warnings

Make KDTree mode in kNN functional

fix window compilations warnings

Make KDTree mode in kNN functional

casting

Make KDTree mode in kNN functional

formatting

Make KDTree mode in kNN functional

* test coding style
 2020-09-04 17:01:05 +00:00
Alexander Alekhin
1996ae4a42 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-12-31 10:11:39 +00:00
Peter Würtz
8aebef2459 Use global RNG for training RTrees. 2019-12-29 21:59:14 +01:00
Alexander Alekhin
01a28db949 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-11-29 18:57:33 +03:00
berak
0dfab6bbd0 ml: fix check in SVM::trainAuto 2019-11-28 20:33:58 +01:00
Alexander Alekhin
e2a5a6a05c Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-09-25 18:32:44 +00:00
Alexander Alekhin
fef7fc343e ml: add checks of empty train data 2019-09-22 11:12:19 +00:00
Alexander Alekhin
c024edb9a8 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-04-19 15:43:58 +03:00
LaurentBerger
621e3eaed8 Add Ptr KNearest::load and python binding 2019-04-16 16:32:37 +02:00
Alexander Alekhin
26087e28ad Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-03-15 22:42:57 +00:00
npochhi
f1a99995c4 Changed eps checking condition 2019-03-14 14:01:34 +05:30
Alexander Alekhin
332c37f332 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-03-06 11:43:16 +03:00
Alexander Alekhin
7d24727184 ml: handle sigmoid NaN result (should be Inf) 
- added more debug checks
 2019-03-01 13:47:45 +03:00
klemens
5d9c6723ee spelling fixes 
backport 997b7b18af
 2019-02-11 15:35:10 +03:00
klemens
997b7b18af spelling fixes 2019-02-09 22:29:54 +01:00
Alexander Alekhin
665408e57f Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2019-02-01 13:17:32 +03:00
Hannah McLaughlin
418898029c Merge pull request #13718 from lochsh:svm-sigmoid-fix 
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
 2019-01-31 15:34:36 +03:00
Alexander Alekhin
dca657a2fd Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2018-09-10 00:10:21 +03:00
Hamdi Sahloul
a39e0daacf Utilize CV_UNUSED macro 2018-09-07 20:33:52 +09:00
Alexander Alekhin
d74b98c3d9 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2018-09-04 18:39:03 +00:00
berak
e13f6ded7f ml: fix adjusting K in KNearest (#12358) 2018-08-31 16:07:53 +03:00
Alexander Alekhin
7d4bb9428b Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2018-08-20 19:30:18 +03:00
Alexander Alekhin
6e84abc746 ml: don't use "getSubVector()" with 2D matrix 
It is designed for 1D vectors only
 2018-08-18 20:50:36 +00:00
Alexander Alekhin
4eb2966559 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2018-08-07 20:12:10 +03:00
luz.paz
2003eb1b9b Misc. typos 
Found via `codespell -q 3 -I ../opencv-whitelist.txt --skip="./3rdparty"`
 2018-07-31 18:44:23 +03:00
Alexander Alekhin
9787ab598b Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2018-07-24 22:48:54 +03:00
Maksim Shabunin
cbb1e867e5 More issues found by static analysis 2018-07-24 16:04:42 +03:00
Alexander Alekhin
4560909a5e Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2018-07-17 19:27:48 +03:00
Maksim Shabunin
1da46fe6fb Fixed issues found by static analysis (mostly DBZ) 2018-07-17 16:14:54 +03:00
Alexander Alekhin
2da96be217 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2018-07-09 19:44:51 +03:00
Alexander Alekhin
b09a4a98d4 opencv: Use cv::AutoBuffer<>::data() 2018-07-04 19:11:29 +03:00
Alexander Alekhin
68c92908d5 Merge remote-tracking branch 'upstream/3.4' into merge-3.4 2018-05-14 15:17:35 +03:00
berak
9b0ef7bb17 ml: fix caching of internal state when changing the impl in KNearest 2018-05-11 12:20:17 +02:00
berak
fc5bba66af ml: refactor non-virtual methods 2018-04-24 13:23:27 +02:00
Alexander Alekhin
2385a5870e next(ml): eliminate dummy interface class ANN_MLP_ANNEAL 2018-04-10 18:09:54 +03:00
lopespt
65d816c3b5 Adds efficient sort algorithm to KNearest 2018-04-04 09:35:58 -03:00
Alexander Alekhin
4d0dd3e509 ml: apply CV_OVERRIDE/CV_FINAL 2018-03-28 18:43:27 +03:00
Vadim Pisarevsky
284e5231c5 Merge pull request #11171 from codingforfun:fix_11143 2018-03-28 12:47:37 +00:00
codingforfun
24e2e0d3f9 #11143 [FIX] Normalize node risk with sample weight sum 
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()
```
 2018-03-27 15:39:36 +02:00
Maksim Shabunin
92e9d4ec3a Fixed several issues detected by static analysis 2018-02-22 17:11:33 +03:00
luz.paz
e805a55a5b Misc. modules/ typos (cont.) 
Found via `codespell`
 2018-02-12 10:15:36 -05:00
Alexander Alekhin
00e43a9022 ml(ANN_MLP): ensure that train() call is always successful 2017-12-22 18:50:04 +00:00
Alexander Alekhin
289a8da39e ml: simplify interfaces of SimulatedAnnealingSolver 2017-12-22 16:35:48 +03:00
LaurentBerger
e43997dbb5 Calcerror uses now weighted samples (#10346) 
* Calcerror uses now sample weights

* catree comment in #10319
 2017-12-20 17:24:46 +03:00
Alexander Alekhin
aef3019152 ml: fix SimulatedAnnealingSolver interface 2017-12-15 21:44:32 +03:00
catree
0a439570a0 Move SimulatedAnnealingSolver::Impl in cpp file. Fix some typos. 2017-12-15 14:09:59 +01:00