#include <BALL/QSAR/logitModel.h>

Inheritance diagram for BALL::QSAR::LogitModel:

Public Member Functions
Constructors and Destructors
	LogitModel (const QSARData &q)

	~LogitModel ()

Accessors
void	train ()

Vector< double >	predict (const vector< double > &substance, bool transform)

void	saveToFile (string filename)

void	readFromFile (string filename)

Public Member Functions inherited from BALL::QSAR::ClassificationModel
	ClassificationModel (const QSARData &q)

	~ClassificationModel ()

virtual void	operator= (ClassificationModel &m)

std::vector< int >	getClassLabels ()

Public Member Functions inherited from BALL::QSAR::Model
	Model (const QSARData &q)

virtual	~Model ()

virtual void	operator= (const Model &m)

void	copyData (const Model &m)

void	copyDescriptorIDs (const Model &m)

void	readTrainingData ()

void	deleteDescriptorIDs ()

virtual bool	optimizeParameters (int, int)

bool	optimizeParameters (int k)

virtual double	calculateStdErr ()

virtual void	setParameters (vector< double > &)

virtual vector< double >	getParameters () const

std::multiset< unsigned int > *	getDescriptorIDs ()

void	setDataSource (const QSARData *q)

const Matrix< double > *	getDescriptorMatrix ()

const vector< string > *	getSubstanceNames ()

const vector< string > *	getDescriptorNames ()

const Matrix< double > *	getY ()

void	setDescriptorIDs (const std::multiset< unsigned int > &sl)

const string *	getType ()

void	getUnnormalizedFeatureValue (int compound, int feature, double &return_value)

void	getUnnormalizedResponseValue (int compound, int response, double &return_value)

Protected Attributes
Attributes
Matrix< double >	training_result_

Protected Attributes inherited from BALL::QSAR::ClassificationModel
std::vector< int >	labels_

std::vector< int >	no_substances_

void(ClassificationModel::*	discretizeFeatures )(uint bins, BALL::Matrix< double > &discretization_information)

void(ClassificationModel::*	discretizeTestDataFeatures )(Vector< double > &compound, uint bins, const BALL::Matrix< double > &discretization_information)

Additional Inherited Members
Public Attributes inherited from BALL::QSAR::ClassificationModel
ClassificationValidation *	validation

Public Attributes inherited from BALL::QSAR::Model
const QSARData *	data

Validation *	model_val

Protected Member Functions inherited from BALL::QSAR::ClassificationModel
void	readClassInformationFromFile (std::ifstream &input, int no_classes)

void	saveClassInformationToFile (std::ofstream &out)

void	readLabels ()

void	equalSpaceDiscretization (uint bins, BALL::Matrix< double > &discretization_information)

void	equalSpaceDiscretizationTestData (Vector< double > &compound, uint bins, const BALL::Matrix< double > &discretization_information)

Detailed Description

class for logistic regression

Definition at line 39 of file logitModel.h.

Constructor & Destructor Documentation

BALL::QSAR::LogitModel::LogitModel ( const QSARData & q )

BALL::QSAR::LogitModel::~LogitModel ( )

Member Function Documentation

Vector<double> BALL::QSAR::LogitModel::predict	(	const vector< double > &	substance,
		bool	transform
	)

virtual

Predicts the activities of a given substance

Parameters

substance the substance which activity is to be predicted in form of a vecor containing the values for all descriptors (if neccessary, relevant descriptors will be selected automatically)

transform determines whether the values for each descriptor of the given substance should be transformed before prediction of activity.
If (transform==1): each descriptor value is transformed according to the centering of the respective column of QSARData.descriptor_matrix used to train this model.
If the substance to be predicted is part of the same input data (e.g. same SD-file) as the training data (as is the case during cross validation), transform should therefore be set to 0.