cmp::classifier::Dummy Class Reference

Baseline classifier predicting class labels based on training frequency distributions. More...

#include <classifier.h>

Inheritance diagram for cmp::classifier::Dummy:

Collaboration diagram for cmp::classifier::Dummy:

Public Member Functions
void	condition (const Eigen::Ref< const Eigen::MatrixXd > &xObs, const Eigen::Ref< const Eigen::VectorXs > &labels)
	Computes the class frequencies from training labels.
size_t	predict (const Eigen::Ref< const Eigen::VectorXd > &x) const override
	Predicts the class label with the highest prior frequency.
std::vector< double >	predictProbabilities (const Eigen::Ref< const Eigen::VectorXd > &x) const override
	Estimates the class prior probabilities based on training frequencies.
Public Member Functions inherited from cmp::classifier::Classifier
virtual	~Classifier ()=default

Private Attributes
size_t	nClasses_ {1}
	Total number of class labels.

Detailed Description

Baseline classifier predicting class labels based on training frequency distributions.

Mathematical Formulation The predicted probability for class \(c\) at any input point \(\mathbf{x}\) is equal to the class prior:

\[ P(y=c \mid \mathbf{x}) = \frac{N_c}{N} \]

where \(N_c\) is the number of occurrences of class \(c\) in the training set and \(N\) is the total number of training observations.

Implementation Algorithm

1. condition() computes class counts \(N_c\) from the labels training vector.
2. predictProbabilities() returns a vector of class proportions.

Member Function Documentation

condition()

void cmp::classifier::Dummy::condition	(	const Eigen::Ref< const Eigen::MatrixXd > &	xObs,
		const Eigen::Ref< const Eigen::VectorXs > &	labels
	)

Computes the class frequencies from training labels.

Parameters

xObs	A matrix of training observations (unused).
labels	A vector of training labels.

predict()

size_t cmp::classifier::Dummy::predict ( const Eigen::Ref< const Eigen::VectorXd > &  x ) const

overridevirtual

Predicts the class label with the highest prior frequency.

Parameters

x	The query point (unused).

Returns

The most frequent class label.

Implements cmp::classifier::Classifier.

predictProbabilities()

std::vector< double > cmp::classifier::Dummy::predictProbabilities ( const Eigen::Ref< const Eigen::VectorXd > &  x ) const

overridevirtual

Estimates the class prior probabilities based on training frequencies.

Parameters

x	The query point (unused).

Returns

A vector of class prior probabilities.

Implements cmp::classifier::Classifier.

Member Data Documentation

nClasses_

size_t cmp::classifier::Dummy::nClasses_ {1}

private

Total number of class labels.

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

• include/classifier.h
• src/classifier.cpp