public class WekaAttributeEvaluatorImpl.WekaAttributeEvaluatorFormatter extends WekaFormatterFactory.WekaFormatter
Modifier and Type | Field and Description |
---|---|
(package private) java.lang.String |
corpusName |
(package private) java.lang.String |
featureSetName |
(package private) java.lang.String |
splitName |
CLASS, INSTANCE_ID, instanceLabel, wekaAttributes
exportProperties, kernelUtil, labelToClassIndexMap, maxAttributeIndex, nominalAttributeMap, numericAttributeMap, outdir
ATTR_INSTANCE_ID, SCOPE, SCOPE_FOLD, SCOPE_LABEL
Constructor and Description |
---|
WekaAttributeEvaluatorImpl.WekaAttributeEvaluatorFormatter(java.lang.String corpusName,
java.lang.String featureSetName,
java.lang.String splitName) |
Modifier and Type | Method and Description |
---|---|
void |
exportFold(SparseData sparseData,
java.util.SortedMap<java.lang.Long,java.lang.String> instanceClasses,
boolean train,
java.lang.String label,
java.lang.Integer run,
java.lang.Integer fold)
export the fold train/test set.
|
clearFold, clearLabel, initializeAttributes, initializeExport, initializeFold, initializeInstances, initializeLabel
addNumericAttribute, exportAttributeNames, exportAttributeNames, exportSparseMatrix, exportSparseRow, getSparseLineValues, updateLabelClassMapTransductive
java.lang.String corpusName
java.lang.String featureSetName
java.lang.String splitName
public WekaAttributeEvaluatorImpl.WekaAttributeEvaluatorFormatter(java.lang.String corpusName, java.lang.String featureSetName, java.lang.String splitName)
public void exportFold(SparseData sparseData, java.util.SortedMap<java.lang.Long,java.lang.String> instanceClasses, boolean train, java.lang.String label, java.lang.Integer run, java.lang.Integer fold) throws java.io.IOException
SparseDataFormatter
exportFold
in interface SparseDataFormatter
exportFold
in class WekaFormatterFactory.WekaFormatter
java.io.IOException