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
7ee69740e8
ml(test): test different samples layout of TrainData
2018-08-17 16:57:20 +03:00
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
Alexander Alekhin
d1d7408a20
Merge pull request #11502 from berak:fix_knearest
2018-05-11 11:47:13 +00:00
berak
9b0ef7bb17
ml: fix caching of internal state when changing the impl in KNearest
2018-05-11 12:20:17 +02:00
Alexander Alekhin
cd2b188c9a
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2018-04-24 18:13:06 +03:00
Alexander Alekhin
6b581c4e51
build: unreachable code after CV_Error() (part 2)
2018-04-24 16:03:40 +03:00
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
Alexander Alekhin
12d2bd4adb
ml: refactor ML_ANN test
2018-02-19 21:35:48 +03:00
luz.paz
e805a55a5b
Misc. modules/ typos (cont.)
...
Found via `codespell`
2018-02-12 10:15:36 -05:00
Alexander Alekhin
4a297a2443
ts: refactor OpenCV tests
...
- removed tr1 usage (dropped in C++17)
- moved includes of vector/map/iostream/limits into ts.hpp
- require opencv_test + anonymous namespace (added compile check)
- fixed norm() usage (must be from cvtest::norm for checks) and other conflict functions
- added missing license headers
2018-02-03 19:39:47 +00:00
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
LaurentBerger
7ad308ea47
Simulated Annealing for ANN_MLP training method ( #10213 )
...
* 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.
...
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
Alexander Alekhin
006966e629
trace: initial support for code trace
2017-06-26 17:07:13 +03:00
David Carlier
bacc210606
fixing segfaults occuring when launching those unit tests
2017-04-18 09:50:17 +01:00
Maksim Shabunin
8b455e8bb3
Fixed Algorithm.save and other methods work in Java
2017-04-05 17:48:38 +03:00
Julian Tanke
f70cc29edb
export SVM::trainAuto to python #7224 ( #8373 )
...
* 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
2017-03-23 16:00:19 +03:00
Vladislav Sovrasov
195c12f2db
ml: remove useless namespace identifiers in SVM
2017-03-07 16:02:19 +03:00
Vadim Pisarevsky
e0ee2f769a
Merge pull request #8116 from mrquorr:master
2017-03-02 11:07:23 +00:00
