本文整理汇总了Java中com.rapidminer.tools.math.MathFunctions.ld方法的典型用法代码示例。如果您正苦于以下问题：Java MathFunctions.ld方法的具体用法？Java MathFunctions.ld怎么用？Java MathFunctions.ld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.tools.math.MathFunctions的用法示例。
在下文中一共展示了MathFunctions.ld方法的4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: startCounting
import com.rapidminer.tools.math.MathFunctions; //导入方法依赖的package包/类
/** Calculates the margin. */
@Override
public void startCounting(ExampleSet exampleSet, boolean useExampleWeights) throws OperatorException {
super.startCounting(exampleSet, useExampleWeights);
// compute margin
Iterator<Example> reader = exampleSet.iterator();
this.value = 0.0d;
Attribute labelAttr = exampleSet.getAttributes().getLabel();
Attribute weightAttribute = null;
if (useExampleWeights) {
weightAttribute = exampleSet.getAttributes().getWeight();
}
while (reader.hasNext()) {
Example example = reader.next();
String trueLabel = example.getNominalValue(labelAttr);
double confidence = example.getConfidence(trueLabel);
double weight = 1.0d;
if (weightAttribute != null) {
weight = example.getValue(weightAttribute);
}
this.value -= weight * MathFunctions.ld(confidence);
this.counter += weight;
}
}
示例2: startCounting
import com.rapidminer.tools.math.MathFunctions; //导入方法依赖的package包/类
/** Calculates the margin. */
@Override
public void startCounting(ExampleSet exampleSet, boolean useExampleWeights) throws OperatorException {
super.startCounting(exampleSet, useExampleWeights);
// compute margin
Iterator<Example> reader = exampleSet.iterator();
this.value = 0.0d;
Attribute labelAttr = exampleSet.getAttributes().getLabel();
Attribute weightAttribute = null;
if (useExampleWeights)
weightAttribute = exampleSet.getAttributes().getWeight();
while (reader.hasNext()) {
Example example = reader.next();
String trueLabel = example.getNominalValue(labelAttr);
double confidence = example.getConfidence(trueLabel);
double weight = 1.0d;
if (weightAttribute != null)
weight = example.getValue(weightAttribute);
this.value -= weight * MathFunctions.ld(confidence);
this.counter += weight;
}
}
示例3: getMatrixValue
import com.rapidminer.tools.math.MathFunctions; //导入方法依赖的package包/类
/** Calculates the mutual information for both attributes. */
@Override
public double getMatrixValue(ExampleSet exampleSet, Attribute firstAttribute, Attribute secondAttribute) {
// init
double[] firstProbabilites = new double[firstAttribute.getMapping().size()];
double[] secondProbabilites = new double[secondAttribute.getMapping().size()];
double[][] jointProbabilities = new double[firstAttribute.getMapping().size()][secondAttribute.getMapping().size()];
double firstCounter = 0.0d;
double secondCounter = 0.0d;
double firstSecondCounter = 0.0d;
// count values
for (Example example : exampleSet) {
double firstValue = example.getValue(firstAttribute);
if (!Double.isNaN(firstValue)) {
firstProbabilites[(int) firstValue]++;
firstCounter++;
}
double secondValue = example.getValue(secondAttribute);
if (!Double.isNaN(secondValue)) {
secondProbabilites[(int) secondValue]++;
secondCounter++;
}
if (!Double.isNaN(firstValue) && !Double.isNaN(secondValue)) {
jointProbabilities[(int) firstValue][(int) secondValue]++;
firstSecondCounter++;
}
}
// transform to probabilities
for (int i = 0; i < firstProbabilites.length; i++) {
firstProbabilites[i] /= firstCounter;
}
for (int i = 0; i < secondProbabilites.length; i++) {
secondProbabilites[i] /= secondCounter;
}
for (int i = 0; i < jointProbabilities.length; i++) {
for (int j = 0; j < jointProbabilities[i].length; j++) {
jointProbabilities[i][j] /= firstSecondCounter;
}
}
double firstEntropy = 0.0d;
for (int i = 0; i < firstProbabilites.length; i++) {
if (firstProbabilites[i] > 0.0d) {
firstEntropy += firstProbabilites[i] * MathFunctions.ld(firstProbabilites[i]);
}
}
firstEntropy *= -1;
double secondEntropy = 0.0d;
for (int i = 0; i < secondProbabilites.length; i++) {
if (secondProbabilites[i] > 0.0d) {
secondEntropy += secondProbabilites[i] * MathFunctions.ld(secondProbabilites[i]);
}
}
secondEntropy *= -1;
double jointEntropy = 0.0d;
for (int i = 0; i < jointProbabilities.length; i++) {
for (int j = 0; j < jointProbabilities[i].length; j++) {
if (jointProbabilities[i][j] > 0.0d) {
jointEntropy += jointProbabilities[i][j] * MathFunctions.ld(jointProbabilities[i][j]);
}
}
}
jointEntropy *= -1;
return firstEntropy + secondEntropy - jointEntropy;
}
示例4: getMatrixValue
import com.rapidminer.tools.math.MathFunctions; //导入方法依赖的package包/类
/** Calculates the mutual information for both attributes. */
@Override
public double getMatrixValue(ExampleSet exampleSet, Attribute firstAttribute, Attribute secondAttribute) {
// init
double[] firstProbabilites = new double[firstAttribute.getMapping().size()];
double[] secondProbabilites = new double[secondAttribute.getMapping().size()];
double[][] jointProbabilities = new double[firstAttribute.getMapping().size()][secondAttribute.getMapping().size()];
double firstCounter = 0.0d;
double secondCounter = 0.0d;
double firstSecondCounter = 0.0d;
// count values
for (Example example : exampleSet) {
double firstValue = example.getValue(firstAttribute);
if (!Double.isNaN(firstValue)) {
firstProbabilites[(int)firstValue]++;
firstCounter++;
}
double secondValue = example.getValue(secondAttribute);
if (!Double.isNaN(secondValue)) {
secondProbabilites[(int)secondValue]++;
secondCounter++;
}
if (!Double.isNaN(firstValue) && !Double.isNaN(secondValue)) {
jointProbabilities[(int)firstValue][(int)secondValue]++;
firstSecondCounter++;
}
}
// transform to probabilities
for (int i = 0; i < firstProbabilites.length; i++) {
firstProbabilites[i] /= firstCounter;
}
for (int i = 0; i < secondProbabilites.length; i++) {
secondProbabilites[i] /= secondCounter;
}
for (int i = 0; i < jointProbabilities.length; i++) {
for (int j = 0; j < jointProbabilities[i].length; j++) {
jointProbabilities[i][j] /= firstSecondCounter;
}
}
double firstEntropy = 0.0d;
for (int i = 0; i < firstProbabilites.length; i++) {
if (firstProbabilites[i] > 0.0d)
firstEntropy += firstProbabilites[i] * MathFunctions.ld(firstProbabilites[i]);
}
firstEntropy *= -1;
double secondEntropy = 0.0d;
for (int i = 0; i < secondProbabilites.length; i++) {
if (secondProbabilites[i] > 0.0d)
secondEntropy += secondProbabilites[i] * MathFunctions.ld(secondProbabilites[i]);
}
secondEntropy *= -1;
double jointEntropy = 0.0d;
for (int i = 0; i < jointProbabilities.length; i++) {
for (int j = 0; j < jointProbabilities[i].length; j++) {
if (jointProbabilities[i][j] > 0.0d)
jointEntropy += jointProbabilities[i][j] * MathFunctions.ld(jointProbabilities[i][j]);
}
}
jointEntropy *= -1;
return firstEntropy + secondEntropy - jointEntropy;
}