Detailed Description

the class MeanSquaredError used to compute error of regression model.

Formally, for labels $ L,R, |L|=|R|$ mean squared error is estimated as

$\frac{1}{|L|} \sum_{i=1}^{|L|} (L_i - R_i)^2$

Definition at line 32 of file MeanSquaredError.h.

Inheritance diagram for CMeanSquaredError:

Public Member Functions
	CMeanSquaredError ()
virtual	~CMeanSquaredError ()
virtual float64_t	evaluate (CLabels predicted, CLabels ground_truth)
EEvaluationDirection	get_evaluation_direction ()
virtual const char *	get_name () const

Constructor & Destructor Documentation

CMeanSquaredError ( )

constructor

Definition at line 36 of file MeanSquaredError.h.

virtual ~CMeanSquaredError ( ) [virtual]

destructor

Definition at line 39 of file MeanSquaredError.h.

evaluate mean squared error

Parameters:

	predicted	labels for evaluating
	ground_truth	labels assumed to be correct

Implements CEvaluation.

Definition at line 17 of file MeanSquaredError.cpp.

EEvaluationDirection get_evaluation_direction ( ) [virtual]

Implements CEvaluation.

Definition at line 48 of file MeanSquaredError.h.

virtual const char* get_name ( void ) const [virtual]

get name

Implements CSGObject.

Definition at line 54 of file MeanSquaredError.h.

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