本文整理汇总了Java中com.rapidminer.example.table.NominalMapping.mapIndex方法的典型用法代码示例。如果您正苦于以下问题：Java NominalMapping.mapIndex方法的具体用法？Java NominalMapping.mapIndex怎么用？Java NominalMapping.mapIndex使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类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个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Java代码示例。
示例1: learn
import com.rapidminer.example.table.NominalMapping; //导入方法依赖的package包/类
@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; //导入方法依赖的package包/类
@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; //导入方法依赖的package包/类
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));
}