CHistogram Class Reference

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Detailed Description

Class Histogram computes a histogram over all 16bit unsigned integers in the features.

Values in histogram are absolute counts (logarithmic)

Definition at line 26 of file Histogram.h.

Inheritance diagram for CHistogram:

List of all members.

Public Member Functions
	CHistogram ()
	CHistogram (CStringFeatures< uint16_t > *f)
virtual	~CHistogram ()
virtual bool	train (CFeatures *data=NULL)
virtual int32_t	get_num_model_parameters ()
virtual float64_t	get_log_model_parameter (int32_t num_param)
virtual float64_t	get_log_derivative (int32_t num_param, int32_t num_example)
virtual float64_t	get_log_likelihood_example (int32_t num_example)
virtual bool	set_histogram (SGVector< float64_t > histogram)
virtual SGVector< float64_t >	get_histogram ()
virtual const char *	get_name () const
Protected Attributes
float64_t *	hist

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Constructor & Destructor Documentation

CHistogram

(

)

default constructor

Definition at line 20 of file Histogram.cpp.

CHistogram

(

CStringFeatures< uint16_t > *

f

)

constructor

Parameters:

f

histogram's features

Definition at line 26 of file Histogram.cpp.

~CHistogram

(

)

[virtual]

Definition at line 33 of file Histogram.cpp.

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Member Function Documentation

SGVector< float64_t > get_histogram

(

)

[virtual]

get histogram

Returns:

current histogram

Definition at line 160 of file Histogram.cpp.

float64_t get_log_derivative	(	int32_t	num_param,
		int32_t	num_example
	)			[virtual]

get logarithm of one example's derivative's likelihood

Parameters:

	num_param	which example's param
	num_example	which example

Returns:

logarithm of example's derivative's likelihood

Implements CDistribution.

Definition at line 104 of file Histogram.cpp.

float64_t get_log_likelihood_example

(

int32_t

num_example

)

[virtual]

get logarithm of one example's likelihood

Parameters:

num_example

which example

Returns:

logarithm of example's likelihood

Implements CDistribution.

Definition at line 82 of file Histogram.cpp.

float64_t get_log_model_parameter

(

int32_t

num_param

)

[virtual]

get logarithm of given model parameter

Parameters:

num_param

which param

Returns:

logarithm of given model parameter

Implements CDistribution.

Definition at line 143 of file Histogram.cpp.

virtual const char* get_name

(

)

const [virtual]

Returns:

object name

Implements CSGObject.

Definition at line 92 of file Histogram.h.

virtual int32_t get_num_model_parameters

(

)

[virtual]

get number of model parameters

Returns:

number of model parameters

Implements CDistribution.

Definition at line 53 of file Histogram.h.

bool set_histogram

(

SGVector< float64_t >

histogram

)

[virtual]

set histogram

Parameters:

histogram

new histogram

Definition at line 148 of file Histogram.cpp.

bool train

(

CFeatures *

data = NULL

)

[virtual]

learn distribution

Parameters:

data

training data (parameter can be avoided if distance or kernel-based classifiers are used and distance/kernels are initialized with train data)

Returns:

whether training was successful

Implements CDistribution.

Definition at line 38 of file Histogram.cpp.

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Member Data Documentation

float64_t* hist [protected]

histogram

Definition at line 96 of file Histogram.h.

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

• Histogram.h
• Histogram.cpp