本文整理汇总了Java中com.rapidminer.gui.renderer.models.EigenvectorModelEigenvalueRenderer.EigenvalueTableModel类的典型用法代码示例。如果您正苦于以下问题：Java EigenvalueTableModel类的具体用法？Java EigenvalueTableModel怎么用？Java EigenvalueTableModel使用的例子？那么, 这里精选的类代码示例或许可以为您提供帮助。
EigenvalueTableModel类属于com.rapidminer.gui.renderer.models.EigenvectorModelEigenvalueRenderer包，在下文中一共展示了EigenvalueTableModel类的5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: getEigenvalueTableModel
import com.rapidminer.gui.renderer.models.EigenvectorModelEigenvalueRenderer.EigenvalueTableModel; //导入依赖的package包/类
@Override
public EigenvalueTableModel getEigenvalueTableModel() {
double varianceSum = 0.0d;
for (Eigenvector wv : eigenVectors) {
varianceSum += wv.getEigenvalue();
}
return new EigenvalueTableModel(eigenVectors, cumulativeVariance, varianceSum);
}
示例2: getEigenvalueTableModel
import com.rapidminer.gui.renderer.models.EigenvectorModelEigenvalueRenderer.EigenvalueTableModel; //导入依赖的package包/类
@Override
public EigenvalueTableModel getEigenvalueTableModel() {
double[] cumulativeVariance = new double[numberOfComponents];
double varianceSum = 0.0d;
int i = 0;
for (WeightVector wv : weightVectors) {
varianceSum += wv.getEigenvalue();
cumulativeVariance[i++] = varianceSum;
}
return new EigenvalueTableModel(weightVectors, VectorMath.vectorDivision(cumulativeVariance, varianceSum),
varianceSum);
}
示例3: getEigenvalueTableModel
import com.rapidminer.gui.renderer.models.EigenvectorModelEigenvalueRenderer.EigenvalueTableModel; //导入依赖的package包/类
@Override
public EigenvalueTableModel getEigenvalueTableModel() {
double varianceSum = 0.0d;
for (Eigenvector wv : eigenVectors) {
varianceSum += wv.getEigenvalue();
}
return new EigenvalueTableModel(eigenVectors, cumulativeVariance, varianceSum);
}
示例4: getEigenvalueTableModel
import com.rapidminer.gui.renderer.models.EigenvectorModelEigenvalueRenderer.EigenvalueTableModel; //导入依赖的package包/类
@Override
public EigenvalueTableModel getEigenvalueTableModel() {
double[] cumulativeVariance = new double[numberOfComponents];
double varianceSum = 0.0d;
int i = 0;
for (WeightVector wv : weightVectors) {
varianceSum += wv.getEigenvalue();
cumulativeVariance[i++] = varianceSum;
}
return new EigenvalueTableModel(weightVectors, VectorMath.vectorDivision(cumulativeVariance, varianceSum), varianceSum);
}
示例5: getEigenvalueTableModel
import com.rapidminer.gui.renderer.models.EigenvectorModelEigenvalueRenderer.EigenvalueTableModel; //导入依赖的package包/类
public abstract EigenvalueTableModel getEigenvalueTableModel();