mlpack::regression::LinearRegression Class Reference

A simple linear regression algorithm using ordinary least squares. More...

List of all members.

Public Member Functions
	LinearRegression (arma::mat &predictors, const arma::vec &responses)
	Creates the model.
	LinearRegression (const std::string &filename)
	Initialize the model from a file.
	LinearRegression ()
	Default constructor.
	LinearRegression (const LinearRegression &linearRegression)
	Copy constructor.
	~LinearRegression ()
	Destructor - no work done.
arma::vec &	Parameters ()
	Modify the parameters (the b vector).
const arma::vec &	Parameters () const
	Return the parameters (the b vector).
void	Predict (const arma::mat &points, arma::vec &predictions)
	Calculate y_i for each data point in points.
Private Attributes
arma::vec	parameters
	The calculated B.

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Detailed Description

A simple linear regression algorithm using ordinary least squares.

Definition at line 33 of file linear_regression.hpp.

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Constructor & Destructor Documentation

mlpack::regression::LinearRegression::LinearRegression	(	arma::mat &	predictors,
		const arma::vec &	responses
	)

Creates the model.

Parameters:

	predictors	X, matrix of data points to create B with.
	responses	y, the measured data for each point in X

mlpack::regression::LinearRegression::LinearRegression

(

const std::string &

filename

)

Initialize the model from a file.

Parameters:

filename

the name of the file to load the model from.

mlpack::regression::LinearRegression::LinearRegression

(

const LinearRegression &

linearRegression

)

Copy constructor.

Parameters:

linearRegression

the other instance to copy parameters from.

mlpack::regression::LinearRegression::LinearRegression

(

)

[inline]

Default constructor.

Definition at line 61 of file linear_regression.hpp.

mlpack::regression::LinearRegression::~LinearRegression

(

)

Destructor - no work done.

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Member Function Documentation

const arma::vec& mlpack::regression::LinearRegression::Parameters

(

)

const [inline]

Return the parameters (the b vector).

Definition at line 78 of file linear_regression.hpp.

References parameters.

arma::vec& mlpack::regression::LinearRegression::Parameters

(

)

[inline]

Modify the parameters (the b vector).

Definition at line 80 of file linear_regression.hpp.

References parameters.

void mlpack::regression::LinearRegression::Predict	(	const arma::mat &	points,
		arma::vec &	predictions
	)

Calculate y_i for each data point in points.

Parameters:

	points	the data points to calculate with.
	predictions	y, will contain calculated values on completion.

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Member Data Documentation

arma::vec mlpack::regression::LinearRegression::parameters [private]

The calculated B.

Initialized and filled by constructor to hold the least squares solution.

Definition at line 87 of file linear_regression.hpp.

Referenced by Parameters().

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The documentation for this class was generated from the following file:

• src/mlpack/methods/linear_regression/linear_regression.hpp