e2a5a6a05c
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2019-09-25 18:32:44 +00:00
fef7fc343e
ml: add checks of empty train data
2019-09-22 11:12:19 +00:00
c024edb9a8
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2019-04-19 15:43:58 +03:00
621e3eaed8
Add Ptr KNearest::load and python binding
2019-04-16 16:32:37 +02:00
26087e28ad
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2019-03-15 22:42:57 +00:00
f1a99995c4
Changed eps checking condition
2019-03-14 14:01:34 +05:30
332c37f332
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2019-03-06 11:43:16 +03:00
7d24727184
ml: handle sigmoid NaN result (should be Inf)
...
- added more debug checks
2019-03-01 13:47:45 +03:00
5d9c6723ee
spelling fixes
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backport 997b7b18af
2019-02-11 15:35:10 +03:00
997b7b18af
spelling fixes
2019-02-09 22:29:54 +01:00
665408e57f
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2019-02-01 13:17:32 +03:00
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
dca657a2fd
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2018-09-10 00:10:21 +03:00
a39e0daacf
Utilize CV_UNUSED macro
2018-09-07 20:33:52 +09:00
d74b98c3d9
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2018-09-04 18:39:03 +00:00
e13f6ded7f
ml: fix adjusting K in KNearest ( #12358 )
2018-08-31 16:07:53 +03:00
7d4bb9428b
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2018-08-20 19:30:18 +03:00
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
4eb2966559
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2018-08-07 20:12:10 +03:00
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
9787ab598b
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2018-07-24 22:48:54 +03:00
cbb1e867e5
More issues found by static analysis
2018-07-24 16:04:42 +03:00
4560909a5e
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2018-07-17 19:27:48 +03:00
1da46fe6fb
Fixed issues found by static analysis (mostly DBZ)
2018-07-17 16:14:54 +03:00
2da96be217
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2018-07-09 19:44:51 +03:00
b09a4a98d4
opencv: Use cv::AutoBuffer<>::data()
2018-07-04 19:11:29 +03:00
68c92908d5
Merge remote-tracking branch 'upstream/3.4' into merge-3.4
2018-05-14 15:17:35 +03:00
9b0ef7bb17
ml: fix caching of internal state when changing the impl in KNearest
2018-05-11 12:20:17 +02:00
fc5bba66af
ml: refactor non-virtual methods
2018-04-24 13:23:27 +02:00
2385a5870e
next(ml): eliminate dummy interface class ANN_MLP_ANNEAL
2018-04-10 18:09:54 +03:00
65d816c3b5
Adds efficient sort algorithm to KNearest
2018-04-04 09:35:58 -03:00
4d0dd3e509
ml: apply CV_OVERRIDE/CV_FINAL
2018-03-28 18:43:27 +03:00
284e5231c5
Merge pull request #11171 from codingforfun:fix_11143
2018-03-28 12:47:37 +00:00
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
92e9d4ec3a
Fixed several issues detected by static analysis
2018-02-22 17:11:33 +03:00
e805a55a5b
Misc. modules/ typos (cont.)
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Found via `codespell`
2018-02-12 10:15:36 -05:00
00e43a9022
ml(ANN_MLP): ensure that train() call is always successful
2017-12-22 18:50:04 +00:00
289a8da39e
ml: simplify interfaces of SimulatedAnnealingSolver
2017-12-22 16:35:48 +03:00
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
aef3019152
ml: fix SimulatedAnnealingSolver interface
2017-12-15 21:44:32 +03:00
0a439570a0
Move SimulatedAnnealingSolver::Impl in cpp file. Fix some typos.
2017-12-15 14:09:59 +01:00
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
614e254331
Merge pull request #10170 from LaurentBerger:Issue10166
2017-11-29 09:51:20 +00:00
a44573c43b
Add ReLU and LeakyReLU activation function in ml module
2017-11-28 11:02:05 +01:00
606a5fd537
Try to solve issue 10166
2017-11-27 13:13:05 +01:00
b9cf65e905
Parallel version of calcError in statmodel
2017-11-09 21:29:06 +01:00
70c5d69640
Merge pull request #9310 from r2d3:svm_parallel
2017-09-18 09:32:41 +00:00
42cd061af0
Merge pull request #9581 from sovrasov:rtree_disable_cv
2017-09-13 13:20:52 +00:00
248e2c7d47
Fixed some issues found by static analysis
2017-09-08 12:22:12 +03:00
3eb9a655c7
ml: disable not implemented k-fold validation in RTrees
2017-09-07 15:49:46 +03:00
Alexander Alekhin