本文整理汇总了Java中cern.colt.matrix.DoubleMatrix1D.aggregate方法的典型用法代码示例。如果您正苦于以下问题：Java DoubleMatrix1D.aggregate方法的具体用法？Java DoubleMatrix1D.aggregate怎么用？Java DoubleMatrix1D.aggregate使用的例子？那么恭喜您, 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cern.colt.matrix.DoubleMatrix1D的用法示例。
在下文中一共展示了DoubleMatrix1D.aggregate方法的11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: normalizePuz
import cern.colt.matrix.DoubleMatrix1D; //导入方法依赖的package包/类
/**
* Normalizes matrix of p(z|u) such that \forall_u: \sum_z p(z|u) = 1.
*
* @param pu_z normalized matrix of p(z|u)
*/
@Override
protected void normalizePuz(DoubleMatrix2D pu_z) {
for (int u = 0; u < pu_z.rows(); u++) {
DoubleMatrix1D tmp = pu_z.viewRow(u);
double norm = tmp.aggregate(Functions.plus, Functions.identity);
if (norm != 0.0) {
tmp.assign(Functions.mult(1 / norm));
}
}
}
示例2: normalizePiz
import cern.colt.matrix.DoubleMatrix1D; //导入方法依赖的package包/类
/**
* Normalizes matrix of p(i|z) such that \forall_z: \sum_i p(i|z) = 1.
*
* @param piz normalized matrix of p(i|z)
*/
@Override
protected void normalizePiz(DoubleMatrix2D piz) {
for (int i = 0; i < piz.columns(); i++) {
DoubleMatrix1D tmp = piz.viewColumn(i);
double norm = tmp.aggregate(Functions.plus, Functions.identity);
if (norm != 0.0) {
tmp.assign(Functions.mult(1 / norm));
}
}
}
示例3: log_sum_exp
import cern.colt.matrix.DoubleMatrix1D; //导入方法依赖的package包/类
public static double log_sum_exp(DoubleMatrix1D exponents) {
double maxExp = exponents.aggregate(Functions.max, Functions.identity);
if (maxExp == Double.NEGATIVE_INFINITY) {
return Double.NEGATIVE_INFINITY;
}
else {
double expSum = exponents.aggregate(Functions.plus, Functions.chain(Functions.exp, Functions.minus(maxExp)));
return maxExp + Math.log(expSum);
}
}
示例4: matrixMax
import cern.colt.matrix.DoubleMatrix1D; //导入方法依赖的package包/类
public static double matrixMax(DoubleMatrix1D mat) {
return mat.aggregate(Functions.max, Functions.identity);
}
示例5: calculate
import cern.colt.matrix.DoubleMatrix1D; //导入方法依赖的package包/类
@Override
public double calculate(final double[] parameters) {
// 20 fitness values
DoubleMatrix1D f = DoubleFactory1D.dense.make(20);
// 19 parameters are estimated, passed in parameters[]
for (int i = 0; i < parameters.length; i++) f.setQuick(i, parameters[i]);
// One is fixed
f.setQuick(19, Constants.FITNESS_FIXED_FOR_RELATIVE);
double mean = f.zSum() / 20.0;
f.assign(Functions.minus(mean));
return -coefficient * f.aggregate(Functions.plus, Functions.pow(2.0));
}
示例6: calculate
import cern.colt.matrix.DoubleMatrix1D; //导入方法依赖的package包/类
@Override
public double calculate(final double[] fitness) {
DoubleMatrix1D theta = DoubleFactory1D.dense.make(fitness);
theta.assign(Functions.exp);
theta.assign(Functions.div(1 + theta.zSum()));
// original:
return ((alpha - 1) * theta.aggregate(Functions.plus, Functions.log))
+ ((alpha - 1) * Math.log(1 - theta.zSum()))
+ Math.log(Math.abs(Algebra.DEFAULT.det(jacobian(theta))));
}
示例7: calculateMdR
import cern.colt.matrix.DoubleMatrix1D; //导入方法依赖的package包/类
private double calculateMdR(final double[] fitness) {
DoubleMatrix1D theta = DoubleFactory1D.dense.make(20, 0.0);
for (int i = 0; i < fitness.length; i++) theta.setQuick(i, fitness[i]);
theta.assign(Functions.exp);
theta.assign(Functions.div(theta.zSum()));
return alpha * theta.aggregate(Functions.plus, Functions.log);
}
示例8: normInfinity
import cern.colt.matrix.DoubleMatrix1D; //导入方法依赖的package包/类
/**
* Returns the infinity norm of vector <tt>x</tt>, which is <tt>Max(abs(x[i]))</tt>.
*/
public double normInfinity(DoubleMatrix1D x) {
// fix for bug reported by [email protected]
if (x.size()==0) return 0;
return x.aggregate(cern.jet.math.Functions.max ,cern.jet.math.Functions.abs);
// if (x.size()==0) return 0;
// return x.aggregate(cern.jet.math.Functions.plus,cern.jet.math.Functions.abs);
// double max = 0;
// for (int i = x.size(); --i >= 0; ) {
// max = Math.max(max, x.getQuick(i));
// }
// return max;
}
示例9: apply
import cern.colt.matrix.DoubleMatrix1D; //导入方法依赖的package包/类
public final double apply(DoubleMatrix1D a, DoubleMatrix1D b) {
return a.aggregate(b, F.plus, F.chain(F.abs,F.minus)) / a.aggregate(b, F.plus, F.plus);
}
示例10: norm1
import cern.colt.matrix.DoubleMatrix1D; //导入方法依赖的package包/类
/**
* Returns the one-norm of vector <tt>x</tt>, which is <tt>Sum(abs(x[i]))</tt>.
*/
public double norm1(DoubleMatrix1D x) {
if (x.size()==0) return 0;
return x.aggregate(cern.jet.math.Functions.plus,cern.jet.math.Functions.abs);
}
示例11: dasum
import cern.colt.matrix.DoubleMatrix1D; //导入方法依赖的package包/类
public double dasum(DoubleMatrix1D x) {
return x.aggregate(F.plus, F.abs);
}