本文整理匯總了Java中com.rapidminer.example.table.NominalMapping.mapIndex方法的典型用法代碼示例。如果您正苦於以下問題：Java NominalMapping.mapIndex方法的具體用法？Java NominalMapping.mapIndex怎麽用？Java NominalMapping.mapIndex使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類com.rapidminer.example.table.NominalMapping的用法示例。
在下文中一共展示了NominalMapping.mapIndex方法的3個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Java代碼示例。
示例1: learn
import com.rapidminer.example.table.NominalMapping; //導入方法依賴的package包/類
@Override
public Model learn(ExampleSet exampleSet) throws OperatorException {
int numberOfNumericalAttributes = 0;
for (Attribute attribute : exampleSet.getAttributes()) {
this.checkForStop();
if (attribute.isNumerical()) {
numberOfNumericalAttributes++;
}
}
NominalMapping labelMapping = exampleSet.getAttributes().getLabel().getMapping();
String[] labelValues = new String[labelMapping.size()];
for (int i = 0; i < labelMapping.size(); i++) {
this.checkForStop();
labelValues[i] = labelMapping.mapIndex(i);
}
Matrix[] meanVectors = getMeanVectors(exampleSet, numberOfNumericalAttributes, labelValues);
Matrix[] inverseCovariance = getInverseCovarianceMatrices(exampleSet, labelValues);
return getModel(exampleSet, labelValues, meanVectors, inverseCovariance,
getAprioriProbabilities(exampleSet, labelValues));
}
示例2: learn
import com.rapidminer.example.table.NominalMapping; //導入方法依賴的package包/類
@Override
public Model learn(ExampleSet exampleSet) throws OperatorException {
int numberOfNumericalAttributes = 0;
for (Attribute attribute : exampleSet.getAttributes()) {
this.checkForStop();
if (attribute.isNumerical()) {
numberOfNumericalAttributes++;
}
}
NominalMapping labelMapping = exampleSet.getAttributes().getLabel().getMapping();
String[] labelValues = new String[labelMapping.size()];
for (int i = 0; i < labelMapping.size(); i++) {
this.checkForStop();
labelValues[i] = labelMapping.mapIndex(i);
}
Matrix[] meanVectors = getMeanVectors(exampleSet, numberOfNumericalAttributes, labelValues);
Matrix[] inverseCovariance = getInverseCovarianceMatrices(exampleSet, labelValues);
return getModel(exampleSet, labelValues, meanVectors, inverseCovariance);
}
示例3: learn
import com.rapidminer.example.table.NominalMapping; //導入方法依賴的package包/類
public Model learn(ExampleSet exampleSet) throws OperatorException {
int numberOfNumericalAttributes = 0;
for (Attribute attribute: exampleSet.getAttributes()) {
if (attribute.isNumerical()) {
numberOfNumericalAttributes++;
}
}
NominalMapping labelMapping = exampleSet.getAttributes().getLabel().getMapping();
String[] labelValues = new String[labelMapping.size()];
for (int i = 0; i < labelMapping.size(); i++) {
labelValues[i] = labelMapping.mapIndex(i);
}
Matrix[] meanVectors = getMeanVectors(exampleSet, numberOfNumericalAttributes, labelValues);
Matrix[] inverseCovariance = getInverseCovarianceMatrices(exampleSet, labelValues);
return getModel(exampleSet, labelValues, meanVectors, inverseCovariance, getAprioriProbabilities(exampleSet, labelValues));
}