BALL::QSAR::KNNModel Class Reference

#include <BALL/QSAR/knnModel.h>

Inheritance diagram for BALL::QSAR::KNNModel:

[legend]

List of all members.

Public Member Functions
void	calculateWeights (Matrix< double > &dist, Vector< double > &w)
void	setParameters (vector< double > &v)
vector< double >	getParameters () const
bool	optimizeParameters (int k, int no_steps)
Constructors and Destructors
	KNNModel (const QSARData &q, int k=3)
Private Attributes
int	k_

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Detailed Description

class for automated lazy learning (ALL-QSAR)

Definition at line 39 of file knnModel.h.

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Constructor & Destructor Documentation

BALL::QSAR::KNNModel::KNNModel	(	const QSARData &	q,
		int	k = 3
	)

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Member Function Documentation

void BALL::QSAR::KNNModel::calculateWeights	(	Matrix< double > &	dist,
		Vector< double > &	w
	)

vector<double> BALL::QSAR::KNNModel::getParameters

(

)

const [virtual]

Reimplemented from BALL::QSAR::ALLModel.

bool BALL::QSAR::KNNModel::optimizeParameters	(	int	d,
		int	no_steps
	)			[virtual]

Tries to find the optimal kernel width for the current data. Therefore some training data must have been read by the connected QSARData object before running this method.

Reimplemented from BALL::QSAR::ALLModel.

void BALL::QSAR::KNNModel::setParameters

(

vector< double > &

)

[virtual]

sets the model parameters according to the given values.

Reimplemented from BALL::QSAR::ALLModel.

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Member Data Documentation

int BALL::QSAR::KNNModel::k_ [private]

Definition at line 57 of file knnModel.h.