KNNRegressor Class Reference

K-Nearest Neighbors Regressor for regression tasks. More...

#include <KNNRegressor.hpp>

Public Member Functions
	KNNRegressor (int k=3)
	Constructs a KNNRegressor. More...
	~KNNRegressor ()
	Destructor for KNNRegressor.
void	fit (const std::vector< std::vector< double >> &X, const std::vector< double > &y)
	Fits the regressor to the training data. More...
std::vector< double >	predict (const std::vector< std::vector< double >> &X) const
	Predicts target values for the given input data. More...

Detailed Description

K-Nearest Neighbors Regressor for regression tasks.

Constructor & Destructor Documentation

KNNRegressor()

KNNRegressor::KNNRegressor ( int  k = 3 )

explicit

Constructs a KNNRegressor.

Parameters

k	The number of neighbors to consider.

Member Function Documentation

fit()

void KNNRegressor::fit	(	const std::vector< std::vector< double >> &	X,
		const std::vector< double > &	y
	)

Fits the regressor to the training data.

Parameters

X	A vector of feature vectors (training data).
y	A vector of target values (training labels).

predict()

std::vector< double > KNNRegressor::predict

(

const std::vector< std::vector< double >> &

X

)

const

Predicts target values for the given input data.

Parameters

X	A vector of feature vectors (test data).

Returns

A vector of predicted target values.

---

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

• ml_library_include/ml/clustering/KNNRegressor.hpp