mexopencv_ml.hpp File Reference

Common definitions for the ml module. More...

#include "mexopencv.hpp"
#include "opencv2/ml.hpp"

Go to the source code of this file.

Functions
MxArray	toStruct (const std::vector< cv::ml::DTrees::Node > &nodes)
	Convert tree nodes to struct array. More...
MxArray	toStruct (const std::vector< cv::ml::DTrees::Split > &splits)
	Convert tree splits to struct array. More...
cv::Ptr< cv::ml::TrainData >	createTrainData (const cv::Mat &samples, const cv::Mat &responses, std::vector< MxArray >::const_iterator first, std::vector< MxArray >::const_iterator last)
	Create an instance of TrainData using options in arguments. More...
cv::Ptr< cv::ml::TrainData >	loadTrainData (const std::string &filename, std::vector< MxArray >::const_iterator first, std::vector< MxArray >::const_iterator last)
	Read a dataset from a CSV file. More...

Detailed Description

Common definitions for the ml module.

Author

Amro

Date

2015

Header file for MEX-functions that use ML module from OpenCV library. This file includes maps for option processing, as well as functions for creating instances of classes from parsed arguments.

Definition in file mexopencv_ml.hpp.

Function Documentation

cv::Ptr<cv::ml::TrainData> createTrainData	(	const cv::Mat &	samples,
		const cv::Mat &	responses,
		std::vector< MxArray >::const_iterator	first,
		std::vector< MxArray >::const_iterator	last
	)

Create an instance of TrainData using options in arguments.

Parameters

samples	data samples
responses	data responses
first	iterator at the beginning of the vector range
last	iterator at the end of the vector range

Returns

smart pointer to created cv::ml::TrainData

cv::Ptr<cv::ml::TrainData> loadTrainData	(	const std::string &	filename,
		std::vector< MxArray >::const_iterator	first,
		std::vector< MxArray >::const_iterator	last
	)

Read a dataset from a CSV file.

Parameters

filename	The input CSV file name
first	iterator at the beginning of the vector range
last	iterator at the end of the vector range

Returns

smart pointer to created cv::ml::TrainData

MxArray toStruct

(

const std::vector< cv::ml::DTrees::Node > &

nodes

)

Convert tree nodes to struct array.

Parameters

nodes

vector of decision tree nodes

Returns

struct-array MxArray object

MxArray toStruct

(

const std::vector< cv::ml::DTrees::Split > &

splits

)

Convert tree splits to struct array.

Parameters

splits

vector of decision tree splits

Returns

struct-array MxArray object