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450 Commits

Author SHA1 Message Date
Vadim Pisarevsky
fda17273de applying patch by rxtsolar: https://github.com/Itseez/opencv/pull/5422 for the master branch (even though it's actually not that important here) 2015-12-10 18:10:27 +03:00
niederb
d8e3971e7f Fixed variable importance in rtrees 2015-12-10 18:09:15 +03:00
Tian Zhi
f0434d60b0 fixed the type inconsistent with document. 
Document say probs will have CV_64F type. But in effect, it has CV_32F type.
http://docs.opencv.org/3.0.0/d1/dfb/classcv_1_1ml_1_1EM.html#a2ea7da92a75bc7a7d665c241f547b9b9
 2015-11-12 02:54:18 +08:00
Vadim Pisarevsky
18f4e55692 Merge pull request #5472 from StevenPuttemans:remove_unexisting_function 2015-11-10 16:14:43 +00:00
Abe Friesen
9c6ff4d955 - LogisticRegressionImpl::predict() was changed to return the predicted value and to only write to the OutputArray results if specified (no longer segfaults). 
- Refactored batch and mini_batch training to use a common gradient computation function (removed duplicate code).
- Altered the cost computation so that NAN is not computed unnecessarily.
- Greatly simplified (and sped up) the code that appends a column of 1s to the data.
- Minor code cleanup.

Removed unused variables.

Added cast to float to remove warning
 2015-11-02 17:49:06 -08:00
Alexander Alekhin
dfec99691b Merge pull request #5370 from berak:fix_svm_autoTrain 2015-10-26 10:47:29 +00:00
Alexander Alekhin
1648e9292c Merge pull request #5431 from MiguelAlgaba:em_one_cluster 2015-10-19 15:27:35 +00:00
Amro
13a0a37e63 fix randMVNormal in ML (#5469) 
Fix the failed assertion by replacing the GEMM call.

Also random numbers are generated from normal distribution ~N(0,1),
instead of uniform distribution ~U(0,1).
 2015-10-11 01:54:11 +03:00
StevenPuttemans
47db20eced removing unexisting functionality in ML header 2015-10-08 11:10:05 +02:00
Miguel Algaba
b71a27b96c Assert fix: allow one cluster as valid parameter 2015-10-01 16:45:59 +02:00
berak
74fc9acdd1 initialize temp_train_samples in SVM::autoTrain 
add smoke test
 2015-09-23 11:08:48 +02:00
Vadim Pisarevsky
c9ccf3b55d Merge pull request #5346 from art-programmer:art-programmer-patch-1 2015-09-21 12:06:46 +00:00
art-programmer
e0ef293645 Update em.cpp 
Fix a bug. When reading from a saved model, function decomposeCovs() will be called. And if covMatType is COV_MAT_DIAGONAL, covsEigenValues is computed using SVD and eigen values are sorted so that the order of eigen values is not preserved. This would lead to different result when calling function predict2. This issues is discussed here: http://stackoverflow.com/questions/23485982/got-different-empredict-results-after-emread-saved-model-in-opencv.
 2015-09-14 19:35:53 -05:00
Ilya Lavrenov
ee2008abe8 fixed "Conditional jump or move depends on uninitialised value(s)" in GBD 2015-09-13 12:36:57 +02:00
Ilya Lavrenov
1d77d697ef fixed memory leak in GBTrees 2015-09-13 12:15:30 +02:00
Vadim Pisarevsky
32c386786e Merge pull request #5294 from LorenaGdL:master 2015-09-09 13:41:39 +00:00
Lorena García
4e7bd86fad TrainData doc update 
Update docs according to PR #5127
 2015-09-03 05:52:04 +02:00
Lorena García
c545857ea6 Indent fix 2015-08-04 16:50:55 +02:00
Lorena García
4cd78bc7ad Whitespace error 2015-08-04 16:45:39 +02:00
Lorena García
fe62243805 Whitespace error 2015-08-04 16:37:41 +02:00
Lorena García
2cb47b4191 Update data.cpp 
Update to allow loading data from a .csv file that only contains training samples values and not the associated responses. To allow this behavior, function must be called with parameters ResponsesStartIdx <= -2 and ResponsesEndIdx = 0
 2015-08-04 15:58:24 +02:00
berak
d9148ea604 Update ml.hpp 
misplaced CV_WRAP statement lead to not exposing EM::getCovs() to python/java/matlab wrappers

add a CV_OUT to return the covs properly
 2015-07-25 08:22:39 +02:00
Jie Yang
2ba0d31785 Fix SVM::trainAuto (Bug #4464) 
Fix SVM::trainAuto (Bug #4464)
 2015-07-06 01:20:26 +09:30
berak
b29e473c21 fix plausability check, #issue 4429 2015-07-01 15:32:37 +02:00
Maksim Shabunin
b95769333c Fixed ANN_MLP dw initialization when moment is not 0 2015-05-13 16:56:34 +03:00
Maksim Shabunin
c137ba53a0 Wrap ANN_MLP class into Python 2015-05-06 15:21:23 +03:00
Vadim Pisarevsky
a69b435c92 Merge pull request #3909 from Nuzhny007:master 2015-04-21 14:02:59 +00:00
Maksim Shabunin
cb00c7036f Fix cache error during SVM train 2015-04-15 15:46:07 +03:00
Сергей Нужный
4a65f3cee2 Squashed commit of the following: 
commit 5c379aa1b8
Merge: e800800 3646967
Author: Сергей Нужный <snuzhny@stc-spb.ru>
Date:   Wed Apr 8 12:44:46 2015 +0300

    Merge branch 'master' of https://github.com/Nuzhny007/opencv

commit e800800bec
Author: Сергей Нужный <snuzhny@stc-spb.ru>
Date:   Wed Apr 8 12:43:38 2015 +0300

    Squashed commit of the following:

    commit 3646967deb
    Author: Сергей Нужный <snuzhny@stc-spb.ru>
    Date:   Tue Apr 7 15:48:30 2015 +0300

        Fix bug in SVM::trainAuto

    commit 0c24ccf538
    Author: Сергей Нужный <snuzhny@stc-spb.ru>
    Date:   Tue Apr 7 15:43:59 2015 +0300

        Revert "Fix bug in SVM::trainAuto"

        This reverts commit 225da0226e.

    commit 225da0226e
    Author: Сергей Нужный <snuzhny@stc-spb.ru>
    Date:   Tue Apr 7 15:09:47 2015 +0300

        Fix bug in SVM::trainAuto

commit 3646967deb
Author: Сергей Нужный <snuzhny@stc-spb.ru>
Date:   Tue Apr 7 15:48:30 2015 +0300

    Fix bug in SVM::trainAuto

commit 0c24ccf538
Author: Сергей Нужный <snuzhny@stc-spb.ru>
Date:   Tue Apr 7 15:43:59 2015 +0300

    Revert "Fix bug in SVM::trainAuto"

    This reverts commit 225da0226e.

commit 225da0226e
Author: Сергей Нужный <snuzhny@stc-spb.ru>
Date:   Tue Apr 7 15:09:47 2015 +0300

    Fix bug in SVM::trainAuto
 2015-04-08 12:51:57 +03:00
Vadim Pisarevsky
052593c760 1. Input/OutputArray optimizations; 
2. Algorithm::load/save added (moved from StatModel)
3. copyrights updated; added copyright/licensing info for ffmpeg
4. some warnings from Xcode 6.x are fixed
 2015-04-07 16:44:26 +03:00
Sancho McCann
6593422c05 Bugfix: #4030 SVM auto-training. 2015-04-01 20:44:51 +00:00
Vadim Pisarevsky
d7cb99254e Merge pull request #3858 from MSOpenTech:fix-ml-test 2015-03-24 15:09:53 +00:00
Evgeny Agafonchikov
91bd7df8c1 Fixing invalid opencv_test_ml calls 2015-03-20 17:49:03 +03:00
Maksim Shabunin
9f08310307 Disabled TrainData::getNormCatValues wrapping due to pointer in parameters 2015-03-19 15:45:34 +03:00
Maksim Shabunin
5709ec85d7 Disabled missing python method for static ml function 2015-03-19 15:11:49 +03:00
Maksim Shabunin
5247eacc3c Add python and java support for ml module 2015-03-19 13:22:30 +03:00
Maksim Shabunin
7335a40a61 Replaced CV_PURE_PROPERTY macros with corresponding code 2015-03-18 17:23:42 +03:00
ippei ito
518fd59a10 fixed whitespace error 2015-03-12 01:09:15 +09:00
ippei ito
49b38fe793 Fixed compile error build with VisualStudio2013 on windows. 
REG_NONE defined in ml.hpp conflicts with defined in Winnt.h
 2015-03-12 00:32:17 +09:00
Maksim Shabunin
79e8f0680c Updated ml module interfaces and documentation 2015-02-17 11:46:14 +03:00
Maksim Shabunin
c85197da55 Fixed allocated vector size in ML ANN algorithm 
- updated return value of points_classifier sample
 2015-02-03 18:16:20 +03:00
Maksim Shabunin
53c9460454 Reorganized ML module documentation 
- fixed one BiB record
- moved algorithms overview to separate page
- added docs for some enumerations
- fixed some small documentation errors
 2015-01-23 23:43:06 +03:00
Maksim Shabunin
38d37d2b00 Fixed uninitialized memory usage in ANN_MLP 2014-12-31 12:16:26 +03:00
Maksim Shabunin
d004ee58c5 Support loading old models in ML module 
- added test for loading legacy files
- added version to new written models
- fixed loading of several fields in some models
- added generation of new fields from old data
 2014-12-31 12:16:25 +03:00
Vadim Pisarevsky
1c8493fb0d Merge pull request #3549 from mshabunin:sphinx-doc-remove 2014-12-31 09:14:22 +00:00
Julien Nabet
2d5e3b57ea Fix cppcheck reports warnings: 
(performance) Possible inefficient checking for 'lmap' emptiness
(warning) Assignment of function parameter has no effect outside the function. Did you forget dereferencing it?
(style) Array index '<xxx>' is used before limits check
 2014-12-27 10:54:34 +01:00
Maksim Shabunin
d01bedbc61 Removed Sphinx documentation files 2014-12-26 19:12:19 +03:00
TobyWanKenobi
b35f5d115f Removed "FORMAT_XML" to generalize format 
Removed the "FileStorage::FORMAT_XML" to generalize format of the String
model.
 2014-12-08 09:21:55 +01:00
TobyWanKenobi
f54b80d2c8 Re-edition of documentation 
Re-edited the documentation again.
 2014-12-03 17:13:11 +01:00
TobyWanKenobi
b3bba3476d Re-editing Documentation 
Attempting to re-editing the documentation, to satisfy buildbot error
status.
 2014-12-03 15:54:25 +01:00
TobyWanKenobi
270af2ca79 Changing tabs to spaces. 
Edited previous code to change tabs into spaces.
 2014-12-03 15:40:12 +01:00
TobyWanKenobi
a1e04c98aa Add method in StatModel class, to load from String 
Added a method "loadFromString" which is based on the "load" one. It
allow to directly pass the XML string which can be usefull and faster
when you have a huge file in a variable.
 2014-12-02 15:15:06 +01:00
Maksim Shabunin
03e213ccae Doxygen documentation: BiB references and fixes 2014-12-01 15:50:55 +03:00
Maksim Shabunin
1523fdcc1c Doxygen documentation: more fixes and cleanups 2014-12-01 15:50:36 +03:00
Maksim Shabunin
8e9ea0e3d1 Doxygen doucmentation: ml module 2014-12-01 15:47:13 +03:00
bartaandras
21227ba092 Fixed calc_output_scale with NO_OUTPUT_SCALE flag set. 2014-11-04 11:35:45 +01:00
Vadim Pisarevsky
b37a641cc9 fixed bug in automatic SVM training 2014-10-18 20:53:39 +04:00
Benoit Seguin
450734cc32 Correction of the integer data treated as floating point data bug, already corrected in the 2.4 branch. 2014-09-23 14:03:20 +02:00
Vadim Pisarevsky
4057e27539 Merge pull request #3126 from avdmitry:move_KDTree_to_ml 2014-09-14 18:57:23 +00:00
Dmitriy Anisimov
a6b29be55b minor change: moved algorithm type to the end of params 2014-09-13 15:06:07 +04:00
Dmitriy Anisimov
dfaf75f502 moving algorithm type to param 2014-09-06 09:29:32 +04:00
Dmitriy Anisimov
5f3ee657ce removed kdtree declaration from interface 2014-08-31 21:39:47 +04:00
Dmitriy Anisimov
9ddb23e025 first implementation KNearest wrapper on KDTree 2014-08-23 18:41:32 +04:00
Dmitriy Anisimov
37b1a7560c first version of moving KDTree from core to ml 2014-08-18 22:40:31 +04:00
Maksim Shabunin
108caae216 Modified logistic regression module according to comments 
- Reworked documentation to reflect actual code
- Removed some unused variables
- Removed unnecessary 'cv::' modifiers
 2014-08-18 19:13:59 +04:00
Maksim Shabunin
4667e18831 Updated logistic regression example 
- Extracted common operations to separate functions.
- Activated first parameters set.
- Some output formatting.
- Fixed loop break condition in mini_batch_gradient function.
 2014-08-18 19:06:58 +04:00
Maksim Shabunin
3e26086f82 Reworked ML logistic regression implementation, initial version 2014-08-18 19:06:58 +04:00
Maksim Shabunin
71770eb790 Fixed ML module build after merge 2014-08-18 19:06:58 +04:00
Rahul Kavi
a23836231f fixed warnings in type conversions 
fixed warnings in type conversions from size_t to int (in getting size of number of unique classes in a training problem).
 2014-08-18 19:06:58 +04:00
Rahul Kavi
d20b2a5a97 removed extra comments in train method 2014-08-18 19:06:58 +04:00
Rahul Kavi
ae02ecec60 removed a couple of unnecessary comments in Logistic Regression training method 2014-08-18 19:06:58 +04:00
Rahul Kavi
f20db35b78 fixed logistic regression documentation warnings 2014-08-18 19:06:58 +04:00
Rahul Kavi
21de04b4a2 fixed default constructor for LogisticRegression class declaration 2014-08-18 19:06:58 +04:00
Rahul Kavi
65eb52a247 removed default value from LogisticRegression constructor function definition 2014-08-18 19:06:57 +04:00
Rahul Kavi
e7f14f3d0e fixed missing semicolon in logistic regression documentation 2014-08-18 19:06:57 +04:00
Rahul Kavi
3622de2621 updated mini_batch_size description for LogisticRegressionParams in documentation 2014-08-18 19:06:57 +04:00
Rahul Kavi
e4ef0e0ca8 fixed indentation in logistic regression documentation 2014-08-18 19:06:57 +04:00
Rahul Kavi
7c97dbc196 fixed indentation in logistic regression documentation 2014-08-18 19:06:57 +04:00
Rahul Kavi
aa35835cfc fixed white space in logistic regression prototype 2014-08-18 19:06:57 +04:00
Rahul Kavi
8995921cc5 fixed white space in logistic regression classifier 2014-08-18 19:06:57 +04:00
Rahul Kavi
a9df50eefc updated test for logistic regression 2014-08-18 19:06:57 +04:00
Rahul Kavi
b3b4e83aed updated logistic regression definition 2014-08-18 19:06:57 +04:00
Rahul Kavi
95ea09c3dc updated prototype for logistic regression classifier 2014-08-18 19:06:57 +04:00
Rahul Kavi
bf2ee3c58a updated prototype for logistic regression classifier 2014-08-18 19:06:52 +04:00
Rahul Kavi
3a6deb3ed3 updated documentation to reflect new api changes for logistic regression 2014-08-18 19:06:52 +04:00
Rahul Kavi
af88f0c067 updated documentation to do reflect changes to logistic regression class 2014-08-18 19:06:52 +04:00
Rahul Kavi
1652b2a443 fixed trailing whitespaces in LogisticRegression code. 2014-08-18 19:06:52 +04:00
Rahul Kavi
5bb43f69ab removed trailing whitespaces from predict function 2014-08-18 19:06:52 +04:00
Rahul Kavi
50031ffb15 removed trailing whitespaces from updated logistic regression definition 2014-08-18 19:06:52 +04:00
Rahul Kavi
78f3b0ad1f removed unnecessary semicolon in LogisticRegression class documentation 2014-08-18 19:06:52 +04:00
Rahul Kavi
56d715b091 fixed typedef for LogisticRegression. Updated LogisticRegression prototype with newer C++ API 2014-08-18 19:06:52 +04:00
Rahul Kavi
e4a90c19cc updated documentation to reflect newer changes to LogisticRegression class 2014-08-18 19:06:48 +04:00
Rahul Kavi
64aaa6e1ae updated test for logistic regression after changes to LogisticRegression class 2014-08-18 19:06:48 +04:00
Rahul Kavi
d5ad4f3255 added updated logistic regression prototype with newer C++ API 2014-08-18 19:06:48 +04:00
Rahul Kavi
0e13f33193 rewrote the code to update API, removed inheritance from CvStatModel. 2014-08-18 19:06:48 +04:00
Rahul Kavi
6c74439d56 fixed trailing white-space in logistic regression class 2014-08-18 19:06:48 +04:00
Rahul Kavi
6ae43a2243 added logistic regression classifier 2014-08-18 19:06:48 +04:00
Rahul Kavi
fcfeb2451b added logistic regression prototype 2014-08-18 19:06:48 +04:00
Rahul Kavi
3039ed7682 added test for logistic regression 2014-08-18 19:06:36 +04:00
Rahul Kavi
3bf6c3c2aa added documentation for logistic regression classifier 2014-08-18 19:06:36 +04:00