opencv

Commit Graph

Author	SHA1	Message	Date
Peter Würtz	8aebef2459	Use global RNG for training RTrees.	5 years ago
Brian Wignall	f9c514b391	Fix spelling typos backport commit `659ffaddb4`	5 years ago
berak	0dfab6bbd0	ml: fix check in SVM::trainAuto	5 years ago
Maksim Shabunin	5ff1fababc	Merge pull request #15959 from mshabunin:refactor-ml-tests ml: refactored tests * use parametrized tests where appropriate * use stable theRNG in most tests * use modern style with EXPECT_/ASSERT_ checks	5 years ago
Alexander Alekhin	7ec91aefc1	python: force using of ArgInfo	5 years ago
Alexander Alekhin	fef7fc343e	ml: add checks of empty train data	5 years ago
luz.paz	fcc7d8dd4e	Fix modules/ typos Found using `codespell -q 3 -S ./3rdparty -L activ,amin,ang,atleast,childs,dof,endwhile,halfs,hist,iff,nd,od,uint` backporting of commit: `ec43292e1e`	5 years ago
Ahmed Ashour	5c56b8ce92	java: generated code to have javadoc	6 years ago
seungju	ceff82877d	fix a typo in md file fix a typo in ml_intro.md, tress -> trees	6 years ago
LaurentBerger	621e3eaed8	Add Ptr KNearest::load and python binding	6 years ago
Alexander Alekhin	a0a1fb5fec	python: discover tests from module/misc/python/test paths	6 years ago
npochhi	f1a99995c4	Changed eps checking condition	6 years ago
Alexander Alekhin	7d24727184	ml: handle sigmoid NaN result (should be Inf) - added more debug checks	6 years ago
klemens	5d9c6723ee	spelling fixes backport `997b7b18af`	6 years ago
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	6 years ago
Hamdi Sahloul	a39e0daacf	Utilize CV_UNUSED macro	6 years ago
berak	e13f6ded7f	ml: fix adjusting K in KNearest (#12358 )	6 years ago
Alexander Alekhin	6e84abc746	ml: don't use "getSubVector()" with 2D matrix It is designed for 1D vectors only	6 years ago
Alexander Alekhin	7ee69740e8	ml(test): test different samples layout of TrainData	6 years ago
luz.paz	2003eb1b9b	Misc. typos Found via `codespell -q 3 -I ../opencv-whitelist.txt --skip="./3rdparty"`	6 years ago
Maksim Shabunin	cbb1e867e5	More issues found by static analysis	6 years ago
Maksim Shabunin	1da46fe6fb	Fixed issues found by static analysis (mostly DBZ)	6 years ago
Alexander Alekhin	b09a4a98d4	opencv: Use cv::AutoBuffer<>::data()	6 years ago
berak	9b0ef7bb17	ml: fix caching of internal state when changing the impl in KNearest	7 years ago
Alexander Alekhin	6b581c4e51	build: unreachable code after CV_Error() (part 2)	7 years ago
lopespt	65d816c3b5	Adds efficient sort algorithm to KNearest	7 years ago
Alexander Alekhin	4d0dd3e509	ml: apply CV_OVERRIDE/CV_FINAL	7 years ago
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() ```	7 years ago
Maksim Shabunin	92e9d4ec3a	Fixed several issues detected by static analysis	7 years ago
Alexander Alekhin	12d2bd4adb	ml: refactor ML_ANN test	7 years ago
luz.paz	e805a55a5b	Misc. modules/ typos (cont.) Found via `codespell`	7 years ago
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	7 years ago
Alexander Alekhin	00e43a9022	ml(ANN_MLP): ensure that train() call is always successful	7 years ago
Alexander Alekhin	289a8da39e	ml: simplify interfaces of SimulatedAnnealingSolver	7 years ago
LaurentBerger	e43997dbb5	Calcerror uses now weighted samples (#10346 ) * Calcerror uses now sample weights * catree comment in #10319	7 years ago
Alexander Alekhin	aef3019152	ml: fix SimulatedAnnealingSolver interface	7 years ago
catree	0a439570a0	Move SimulatedAnnealingSolver::Impl in cpp file. Fix some typos.	7 years ago
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	7 years ago
LaurentBerger	a44573c43b	Add ReLU and LeakyReLU activation function in ml module	7 years ago
LaurentBerger	606a5fd537	Try to solve issue 10166	7 years ago
LaurentBerger	b9cf65e905	Parallel version of calcError in statmodel	7 years ago
Maksim Shabunin	248e2c7d47	Fixed some issues found by static analysis	7 years ago
Vladislav Sovrasov	3eb9a655c7	ml: disable not implemented k-fold validation in RTrees	7 years ago
David Geldreich	7c334f45c6	trainAuto: uses parallel_for_ to dispatch all parameters combination to test	7 years ago
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.	7 years ago
Maksim Shabunin	a769d69a9d	Fixed several issues found by static analysis	7 years ago
Maksim Shabunin	32d4af36e2	Fixing some static analysis issues	8 years ago
Alexander Alekhin	006966e629	trace: initial support for code trace	8 years ago
David Carlier	bacc210606	fixing segfaults occuring when launching those unit tests	8 years ago
Maksim Shabunin	8b455e8bb3	Fixed Algorithm.save and other methods work in Java	8 years ago

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540 Commits (7373ef09838ca8cd76b0bf58fd972687a53521be)