public class Learner extends Object
Constructor and Description |
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Learner() |
Modifier and Type | Method and Description |
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String |
getAllErrorsAsString() |
List<String> |
getErrors() |
DataSet |
getExternalDataSet() |
String |
getMatricesAsString(String separator,
boolean mergeMatrices,
boolean groupCountMatrix,
boolean correctionFactorsMatrix,
boolean externalDescriptorMatrix,
boolean targetPropertyMatrix) |
int |
getMatrixDecDig() |
int |
getMatrixDig() |
GroupContributionModel |
getModel() |
DataSet |
getTrainDataSet() |
void |
initVariables() |
void |
performCrossValidation(CrossValidation cv) |
void |
performExternalValidation() |
int |
performFragmentationOnly() |
void |
performLOOValidation() |
void |
performSelfTest(ValidationConfig validation) |
void |
performYScrambling(int numIterations) |
void |
reset() |
void |
setExternalDataSet(DataSet externalDataSet) |
void |
setMatrixDecDig(int matrixDecDig) |
void |
setMatrixDig(int matrixDig) |
void |
setModel(GroupContributionModel model) |
void |
setTrainDataSet(DataSet trainDataSet) |
int |
train() |
void |
validate() |
public void reset()
public String getAllErrorsAsString()
public GroupContributionModel getModel()
public void setModel(GroupContributionModel model)
public DataSet getTrainDataSet()
public void setTrainDataSet(DataSet trainDataSet)
public DataSet getExternalDataSet()
public void setExternalDataSet(DataSet externalDataSet)
public int getMatrixDig()
public void setMatrixDig(int matrixDig)
public int getMatrixDecDig()
public void setMatrixDecDig(int matrixDecDig)
public int train()
public int performFragmentationOnly()
public void initVariables()
public void validate()
public void performSelfTest(ValidationConfig validation)
public void performYScrambling(int numIterations)
public void performLOOValidation()
public void performCrossValidation(CrossValidation cv)
public void performExternalValidation()
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