plLearn1dNormal Class Reference

This class permits to learn one-dimensional Normal (Gaussian) distributions. More...

#include <plLearn1dNormal.h>

Inheritance diagram for plLearn1dNormal:

[legend]Collaboration diagram for plLearn1dNormal:

[legend]List of all members.

Public Member Functions
	plLearn1dNormal (const plVariablesConjunction &vars)
	Constructor using a given variable.
	plLearn1dNormal (const plVariablesConjunction &vars, double init_mean, double init_std_dev, double init_weight=1.0)
	Constructor using a set of variables, an initial mean, initial covariance, and an initial weight .
	plLearn1dNormal ()
	Void default constructor.
virtual	~plLearn1dNormal ()
	Dectructor.
void	reset ()
	Resets learning.
void	internal_addPoint (const plDataValues &point, double weight)
	Adds a point {point} with a given weight {weight} and updates the mean and variances statistics.
double	get_mu () const
	Returns the mean value.
double	get_var () const
	Returns the variance value.
double	get_sigma () const
	Returns the sigma (standard deviation) value.
void	get_params (plValues &params) const
	Returns both the mean the sigma values in the output parameter {params}.
void	get_actual_min_max (double &min, double &max) const
	Returns min and max values.
plKernel	get_distribution (const void *parameters=NULL) const
	Returns the normal corresponding to the learnt distribution.

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Detailed Description

This class permits to learn one-dimensional Normal (Gaussian) distributions.

Definition at line 28 of file plLearn1dNormal.h.

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Member Function Documentation

void plLearn1dNormal::internal_addPoint (  const plDataValues &  point, double  weight )  [inline, virtual]

Adds a point {point} with a given weight {weight} and updates the mean and variances statistics. This is an internal method, do not use it directly. Use addNewPoint instead. Implements plLearnObject. Definition at line 70 of file plLearn1dNormal.h.

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

• plLearn1dNormal.h

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