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)
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- added more debug checks
2019-03-01 13:47:45 +03:00
klemens
5d9c6723ee
spelling fixes
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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
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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
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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.)
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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 )
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* 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
LaurentBerger
7ad308ea47
Simulated Annealing for ANN_MLP training method ( #10213 )
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* Simulated Annealing for ANN_MLP training method
* EXPECT_LT
* just to test new data
* manage RNG
* Try again
* Just run buildbot with new data
* try to understand
* Test layer
* New data- new test
* Force RNG in backprop
* Use Impl to avoid virtual method
* reset all weights
* try to solve ABI
* retry
* ABI solved?
* till problem with dynamic_cast
* Something is wrong
* Solved?
* disable backprop test
* remove ANN_MLP_ANNEALImpl
* Disable weight in varmap
* Add example for SimulatedAnnealing
2017-12-15 13:57:39 +03:00
Vadim Pisarevsky
614e254331
Merge pull request #10170 from LaurentBerger:Issue10166
2017-11-29 09:51:20 +00:00
LaurentBerger
a44573c43b
Add ReLU and LeakyReLU activation function in ml module
2017-11-28 11:02:05 +01:00
LaurentBerger
606a5fd537
Try to solve issue 10166
2017-11-27 13:13:05 +01:00
LaurentBerger
b9cf65e905
Parallel version of calcError in statmodel
2017-11-09 21:29:06 +01:00
Vadim Pisarevsky
70c5d69640
Merge pull request #9310 from r2d3:svm_parallel
2017-09-18 09:32:41 +00:00
Vadim Pisarevsky
42cd061af0
Merge pull request #9581 from sovrasov:rtree_disable_cv
2017-09-13 13:20:52 +00:00
Maksim Shabunin
248e2c7d47
Fixed some issues found by static analysis
2017-09-08 12:22:12 +03:00
Vladislav Sovrasov
3eb9a655c7
ml: disable not implemented k-fold validation in RTrees
2017-09-07 15:49:46 +03:00
David Geldreich
7c334f45c6
trainAuto: uses parallel_for_ to dispatch all parameters combination to test
2017-08-08 13:27:02 +02:00
Rink Springer
3ce1bca670
Prevent crash when attempting to create training data without responses.
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This is at least useful when using an SVM one-class linear classifier, so there are valid use cases.
2017-06-30 15:36:47 +02:00
Maksim Shabunin
a769d69a9d
Fixed several issues found by static analysis
2017-06-28 18:06:18 +03:00
Maksim Shabunin
32d4af36e2
Fixing some static analysis issues
2017-06-27 14:30:26 +03:00
