plLearnKHistogram Class Reference

The class for learning n dimensionnal histograms with KNOWN variables definition sets. More...

#include <plLearnKHistogram.h>

Inheritance diagram for plLearnKHistogram:

[legend]Collaboration diagram for plLearnKHistogram:

[legend]List of all members.

Public Member Functions
	plLearnKHistogram ()
	Default constructor.
	plLearnKHistogram (const plVariablesConjunction &vars)
	Constructor using a set of variables.
template<class arrayType>
	plLearnKHistogram (const plVariablesConjunction &vars, arrayType init_freq, double init_weight=1.0)
	Constructor using a set of variables, initial frequencies, and an initial weight.
	plLearnKHistogram (const plLearnKHistogram &histo)
	Copy Constructor.
virtual	~plLearnKHistogram ()
	Dectructor.
void	reset ()
	Resets learning.
void	internal_addPoint (const plDataValues &point, double weight=1.0)
	Adds a point {point} with a given weight {weight} and updates the statistics.
void	get_params (plValues &params) const
	Returns the probability table in the output parameter {params}.
plKernel	get_distribution (const void *parameters=NULL) const
	Returns the probability table corresponding to the learnt distribution.
virtual void	get_probability (vector< plProbValue > &table) const
	Returns the probability table corresponding to the learnt distribution in the output parameter 'table'.
virtual void	get_probability (plProbValue *table) const
	Returns the probability table corresponding to the learnt distribution in the output parameter 'table'.
void	get_frequency (vector< double > &table) const
	Returns the frequency table corresponding to the learnt distribution in the output parameter 'table'.
void	get_frequency (double *table) const
	Returns the frequency table corresponding to the learnt distribution in the output parameter 'table'.
const vector< double > &	get_frequency () const
	Returns a constant reference to the frequency table corresponding to the learnt distribution.
void	get_actual_min_max (plValues &min, plValues &max) const
	Returns the actual range of the head variables according to the learnt points.
unsigned int	size () const
	Returns the size of the histogram.

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Detailed Description

The class for learning n dimensionnal histograms with KNOWN variables definition sets.

Definition at line 29 of file plLearnKHistogram.h.

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Member Function Documentation

void plLearnKHistogram::get_frequency (  double *  table  )  const

Returns the frequency table corresponding to the learnt distribution in the output parameter 'table'. Supposes that 'table' has the exact size.

virtual void plLearnKHistogram::get_probability (  plProbValue *  table  )  const [virtual]

Returns the probability table corresponding to the learnt distribution in the output parameter 'table'. Supposes that 'table' has the exact size. Reimplemented in plLearnKLaplace, and plLearnKLidstone.

void plLearnKHistogram::internal_addPoint (  const plDataValues &  point, double  weight = 1.0 )  [virtual]

Adds a point {point} with a given weight {weight} and updates the statistics. This is an internal method, do not use it directly. Use addNewPoint instead. Implements plLearnObject.

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

• plLearnKHistogram.h

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