BALL::QSAR::NonLinearModel Member List

This is the complete list of members for BALL::QSAR::NonLinearModel, including all inherited members.
addLambda(Matrix< double > &matrix, double &lambda)BALL::QSAR::Model [protected]
backTransformPrediction(Vector< double > &pred)BALL::QSAR::Model [protected]
calculateOffsets()BALL::QSAR::NonLinearModel [inline, protected, virtual]
calculateStdErr()BALL::QSAR::Model [inline, virtual]
ClassificationValidation classBALL::QSAR::Model [friend]
copyData(const Model &m)BALL::QSAR::Model
copyDescriptorIDs(const Model &m)BALL::QSAR::Model
dataBALL::QSAR::Model
default_no_opt_steps_BALL::QSAR::Model [protected]
deleteDescriptorIDs()BALL::QSAR::Model
descriptor_IDs_BALL::QSAR::Model [protected]
descriptor_matrix_BALL::QSAR::Model [protected]
descriptor_names_BALL::QSAR::Model [protected]
descriptor_transformations_BALL::QSAR::Model [protected]
getDescriptorIDs()BALL::QSAR::Model
getDescriptorMatrix()BALL::QSAR::Model
getDescriptorNames()BALL::QSAR::Model
getParameters() const BALL::QSAR::Model [virtual]
getSubstanceNames()BALL::QSAR::Model
getSubstanceVector(const vector< double > &substance, bool transform)BALL::QSAR::Model [protected]
getSubstanceVector(const Vector< double > &substance, bool transform)BALL::QSAR::Model [protected]
getTrainingResult() const BALL::QSAR::RegressionModel
getType()BALL::QSAR::Model
getUnnormalizedFeatureValue(int compound, int feature, double &return_value)BALL::QSAR::Model
getUnnormalizedResponseValue(int compound, int response, double &return_value)BALL::QSAR::Model
getY()BALL::QSAR::Model
Model(const QSARData &q)BALL::QSAR::Model
model_valBALL::QSAR::Model
NonLinearModel(const QSARData &q)BALL::QSAR::NonLinearModel
offsets_BALL::QSAR::RegressionModel [protected]
operator=(const RegressionModel &m)BALL::QSAR::RegressionModel [virtual]
BALL::QSAR::Model::operator=(const Model &m)BALL::QSAR::Model [virtual]
optimizeParameters(int, int)BALL::QSAR::Model [inline, virtual]
optimizeParameters(int k)BALL::QSAR::Model
predict(const vector< double > &substance, bool transform)=0BALL::QSAR::Model [pure virtual]
readDescriptorInformation()BALL::QSAR::Model [protected]
readDescriptorInformationFromFile(std::ifstream &in, int no_descriptors, bool transformation, int no_coefficients)BALL::QSAR::RegressionModel [protected]
BALL::QSAR::Model::readDescriptorInformationFromFile(std::ifstream &in, int no_descriptors, bool transformation)BALL::QSAR::Model [protected, virtual]
readFromFile(string filename)BALL::QSAR::RegressionModel [virtual]
readMatrix(Matrix< double > &mat, std::ifstream &in, uint lines, uint col)BALL::QSAR::Model [protected]
readModelParametersFromFile(std::ifstream &in)BALL::QSAR::Model [protected]
readResponseTransformationFromFile(std::ifstream &in, int no_y)BALL::QSAR::Model [protected]
readTrainingData()BALL::QSAR::Model
readVector(Vector< double > &vec, std::ifstream &in, uint no_cells, bool column_vector)BALL::QSAR::Model [protected]
RegressionModel(const QSARData &q)BALL::QSAR::RegressionModel
RegressionValidation classBALL::QSAR::RegressionModel [friend]
saveDescriptorInformationToFile(std::ofstream &out)BALL::QSAR::RegressionModel [protected, virtual]
saveModelParametersToFile(std::ofstream &out)BALL::QSAR::Model [protected]
saveResponseTransformationToFile(std::ofstream &out)BALL::QSAR::Model [protected]
saveToFile(string filename)BALL::QSAR::RegressionModel [virtual]
setDataSource(const QSARData *q)BALL::QSAR::Model
setDescriptorIDs(const std::multiset< unsigned int > &sl)BALL::QSAR::Model
setParameters(vector< double > &)BALL::QSAR::Model [inline, virtual]
show()BALL::QSAR::RegressionModel
substance_names_BALL::QSAR::Model [protected]
train()=0BALL::QSAR::Model [pure virtual]
training_result_BALL::QSAR::RegressionModel [protected]
type_BALL::QSAR::Model [protected]
validationBALL::QSAR::RegressionModel
Validation classBALL::QSAR::Model [friend]
Y_BALL::QSAR::Model [protected]
y_transformations_BALL::QSAR::Model [protected]
~Model()BALL::QSAR::Model [virtual]
~NonLinearModel()BALL::QSAR::NonLinearModel
~RegressionModel()BALL::QSAR::RegressionModel
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