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
Rahul Kavi
b9902f39b7
added reference to logistic regression document
2014-08-18 19:06:36 +04:00
Adil Ibragimov
8a4a1bb018
Several type of formal refactoring:
...
1. someMatrix.data -> someMatrix.prt()
2. someMatrix.data + someMatrix.step * lineIndex -> someMatrix.ptr( lineIndex )
3. (SomeType*) someMatrix.data -> someMatrix.ptr<SomeType>()
4. someMatrix.data -> !someMatrix.empty() ( or !someMatrix.data -> someMatrix.empty() ) in logical expressions
2014-08-13 15:21:35 +04:00
Vadim Pisarevsky
05e7c29de5
fixed various warnings and obvious errors reported by clang compiler and the coverity tool.
2014-08-10 00:10:05 +04:00
Vadim Pisarevsky
222f8a3d5e
hopefully fixed test failure on Linux
2014-08-04 01:16:45 +04:00
Vadim Pisarevsky
24b01a8e4f
continuing to debug boost and fix MSVC compile errors
2014-08-03 21:21:11 +04:00
