weka.core.Utils.eq()方法的使用及代码示例
本文整理了Java中weka.core.Utils.eq()方法的一些代码示例，展示了Utils.eq()的具体用法。这些代码示例主要来源于Github/Stackoverflow/Maven等平台，是从一些精选项目中提取出来的代码，具有较强的参考意义，能在一定程度帮忙到你。Utils.eq()方法的具体详情如下：
包路径：weka.core.Utils
类名称：Utils
方法名：eq
Utils.eq介绍
[英]Tests if a is equal to b.
[中]测试a是否等于b。
代码示例
代码示例来源：origin: nz.ac.waikato.cms.weka/weka-stable
/**
* Returns relative frequency of class over all bags.
*/
public final double prob(int classIndex) {
if (!Utils.eq(totaL, 0)) {
return m_perClass[classIndex] / totaL;
} else {
return 0;
}
}代码示例来源：origin: Waikato/weka-trunk
/**
* Returns relative frequency of class over all bags.
*/
public final double prob(int classIndex) {
if (!Utils.eq(totaL, 0)) {
return m_perClass[classIndex] / totaL;
} else {
return 0;
}
}代码示例来源：origin: nz.ac.waikato.cms.weka/weka-stable
/**
* Normalizes a given value of a numeric attribute.
*
* @param x the value to be normalized
* @param i the attribute's index
*/
private double norm(double x, int i) {
if (Double.isNaN(m_Min[i]) || Utils.eq(m_Max[i], m_Min[i])) {
return 0;
} else {
return (x - m_Min[i]) / (m_Max[i] - m_Min[i]);
}
}代码示例来源：origin: net.sf.meka.thirdparty/mulan
/**
* Normalizes a given value of a numeric attribute.
*
* @param x the value to be normalized
* @param i the attribute's index
* @return the normalized value
*/
private double norm(double x, int i) {
if (Double.isNaN(m_Min[i]) || Utils.eq(m_Max[i], m_Min[i])) {
return 0;
} else {
return (x - m_Min[i]) / (m_Max[i] - m_Min[i]);
}
}代码示例来源：origin: Waikato/weka-trunk
/**
* Normalizes a given value of a numeric attribute.
*
* @param x the value to be normalized
* @param i the attribute's index
*/
private double norm(double x, int i) {
if (Double.isNaN(m_Min[i]) || Utils.eq(m_Max[i], m_Min[i])) {
return 0;
} else {
return (x - m_Min[i]) / (m_Max[i] - m_Min[i]);
}
}代码示例来源：origin: nz.ac.waikato.cms.weka/weka-stable
/**
* Normalizes a given value of a numeric attribute.
*
* @param x the value to be normalized
* @param i the attribute's index
* @return the normalized value
*/
private double norm(double x, int i) {
if (Double.isNaN(m_minArray[i]) || Utils.eq(m_maxArray[i], m_minArray[i])) {
return 0;
} else {
return (x - m_minArray[i]) / (m_maxArray[i] - m_minArray[i]);
}
}代码示例来源：origin: nz.ac.waikato.cms.weka/weka-stable
/**
* Normalizes a given value of a numeric attribute.
*
* @param x the value to be normalized
* @param i the attribute's index
* @return the normalized value
*/
protected double norm(double x, int i) {
if (Double.isNaN(m_Min[i]) || Utils.eq(m_Max[i], m_Min[i])) {
return 0;
} else {
return (x - m_Min[i]) / (m_Max[i] - m_Min[i]);
}
}代码示例来源：origin: Waikato/weka-trunk
/**
* Normalizes a given value of a numeric attribute.
*
* @param x the value to be normalized
* @param i the attribute's index
* @return the normalized value
*/
protected double norm(double x, int i) {
if (Double.isNaN(m_Min[i]) || Utils.eq(m_Max[i], m_Min[i])) {
return 0;
} else {
return (x - m_Min[i]) / (m_Max[i] - m_Min[i]);
}
}代码示例来源：origin: Waikato/weka-trunk
/**
* Normalizes a given value of a numeric attribute.
*
* @param x the value to be normalized
* @param i the attribute's index
* @return the normalized value
*/
private double norm(double x, int i) {
if (Double.isNaN(m_minArray[i]) || Utils.eq(m_maxArray[i], m_minArray[i])) {
return 0;
} else {
return (x - m_minArray[i]) / (m_maxArray[i] - m_minArray[i]);
}
}代码示例来源：origin: nz.ac.waikato.cms.weka/simpleEducationalLearningSchemes
/**
* Normalizes a given value of a numeric attribute.
*
* @param x the value to be normalized
* @param i the attribute's index
* @return the normalized value
*/
private double norm(double x,int i) {
if (Double.isNaN(m_MinArray[i])
|| Utils.eq(m_MaxArray[i], m_MinArray[i])) {
return 0;
} else {
return (x - m_MinArray[i]) / (m_MaxArray[i] - m_MinArray[i]);
}
}代码示例来源：origin: nz.ac.waikato.cms.weka/meka
/**
* CalcLogLoss.
* @param R y
* @param P p(y==1)
* @param C limit
* @return Log loss
*/
public static double calcLogLoss(double R, double P, double C) {
// base 2 ?
double ans = Math.min(Utils.eq(R,P) ? 0.0 : -( (R * Math.log(P)) + ((1.0 - R) * Math.log(1.0 - P)) ),C);
return (Double.isNaN(ans) ? 0.0 : ans);
}代码示例来源：origin: Waikato/meka
/**
* L_LogLoss - the log loss between real-valued confidence rpred and true prediction y.
* @param y label
* @param rpred prediction (confidence)
* @param C limit (maximum loss of log(C))
* @return Log loss
*/
public static double L_LogLoss(double y, double rpred, double C) {
if (y == -1) {
return 0.0;
}
// base 2 ?
double ans = Math.min(Utils.eq(y,rpred) ? 0.0 : -( (y * Math.log(rpred)) + ((1.0 - y) * Math.log(1.0 - rpred)) ),C);
return (Double.isNaN(ans) ? 0.0 : ans);
}代码示例来源：origin: net.sf.meka/meka
/**
* L_LogLoss - the log loss between real-valued confidence rpred and true prediction y.
* @param y label
* @param rpred prediction (confidence)
* @param C limit (maximum loss of log(C))
* @return Log loss
*/
public static double L_LogLoss(double y, double rpred, double C) {
if (y == -1) {
return 0.0;
}
// base 2 ?
double ans = Math.min(Utils.eq(y,rpred) ? 0.0 : -( (y * Math.log(rpred)) + ((1.0 - y) * Math.log(1.0 - rpred)) ),C);
return (Double.isNaN(ans) ? 0.0 : ans);
}代码示例来源：origin: nz.ac.waikato.cms.weka/weka-stable
@Override
Predicate.Eval evaluate(double[] input, double value, int fieldIndex) {
return Predicate.booleanToEval(
Utils.isMissingValue(input[fieldIndex]),
weka.core.Utils.eq(input[fieldIndex], value));
}代码示例来源：origin: nz.ac.waikato.cms.weka/conjunctiveRule
/**
* Prints this antecedent
*
* @return a textual description of this antecedent
*/
@Override
public String toString() {
String symbol = Utils.eq(value, 0.0) ? " <= " : " > ";
return (att.name() + symbol + Utils.doubleToString(splitPoint, 6));
}代码示例来源：origin: Waikato/weka-trunk
@Override
Predicate.Eval evaluate(double[] input, double value, int fieldIndex) {
return Predicate.booleanToEval(
Utils.isMissingValue(input[fieldIndex]),
weka.core.Utils.eq(input[fieldIndex], value));
}代码示例来源：origin: nz.ac.waikato.cms.weka/weka-stable
/**
* This method is a straightforward implementation of the information gain
* criterion for the given distribution.
*/
@Override
public final double splitCritValue(Distribution bags) {
double numerator;
numerator = oldEnt(bags) - newEnt(bags);
// Splits with no gain are useless.
if (Utils.eq(numerator, 0)) {
return Double.MAX_VALUE;
}
// We take the reciprocal value because we want to minimize the
// splitting criterion's value.
return bags.total() / numerator;
}代码示例来源：origin: nz.ac.waikato.cms.weka/weka-stable
/**
* Computes estimated errors for leaf.
*
* @param theDistribution the distribution to use
* @return the estimated errors
*/
private double getEstimatedErrorsForDistribution(Distribution
theDistribution){
if (Utils.eq(theDistribution.total(),0))
return 0;
else
return theDistribution.numIncorrect()+
Stats.addErrs(theDistribution.total(),
theDistribution.numIncorrect(),m_CF);
}代码示例来源：origin: Waikato/weka-trunk
/**
* Computes estimated errors for leaf.
*
* @param theDistribution the distribution to use
* @return the estimated errors
*/
private double getEstimatedErrorsForDistribution(Distribution
theDistribution){
if (Utils.eq(theDistribution.total(),0))
return 0;
else
return theDistribution.numIncorrect()+
Stats.addErrs(theDistribution.total(),
theDistribution.numIncorrect(),m_CF);
}代码示例来源：origin: nz.ac.waikato.cms.weka/weka-stable
public void testTypical() {
Instances result = useFilter();
// Number of attributes and instances shouldn't change
assertEquals(m_Instances.numAttributes(), result.numAttributes());
assertEquals(m_Instances.numInstances(), result.numInstances());
// Check conversion is OK
for (int j = 0; j < result.numAttributes(); j++) {
if (result.attribute(j).isNumeric()) {
double mean = result.meanOrMode(j);
assertTrue("Mean should be 0", Utils.eq(mean, 0));
double stdDev = Math.sqrt(result.variance(j));
assertTrue("StdDev should be 1 (or 0)",
Utils.eq(stdDev, 0) || Utils.eq(stdDev, 1));
}
}
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