本文整理了Java中cern.jet.random.Normal.<init>()
方法的一些代码示例,展示了Normal.<init>()
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。Normal.<init>()
方法的具体详情如下:
包路径:cern.jet.random.Normal
类名称:Normal
方法名:<init>
[英]Constructs a normal (gauss) distribution. Example: mean=0.0, standardDeviation=1.0.
[中]构造正态(高斯)分布。示例:平均值=0.0,标准偏差=1.0。
代码示例来源:origin: addthis/stream-lib
RandomEngine r = new MersenneTwister64(0);
Normal[] dists = new Normal[]{
new Normal(100, 50, r),
new Normal(150, 20, r),
new Normal(500, 300, r),
new Normal(10000, 10000, r),
new Normal(1200, 300, r),
};
for (int numSamples : new int[]{1, 10, 100, 1000, 10000}) {
代码示例来源:origin: stackoverflow.com
public static void main(String args[]) {
Normal normal = new Normal();
normal.name = null;
String name = normal.name;
System.out.println( "My name is : " + name );
}
代码示例来源:origin: stackoverflow.com
public static void main(String args[]) {
Normal normal = new Normal();
normal.name = "suhail gupta";
System.out.println( "My name is : " + normal.name );
}
代码示例来源:origin: org.jwall/streams-core
public ColtGaussian(Double mean, Double variance, Long seed) {
rndEngine = new MersenneTwister64(seed.intValue());
this.rnd = new Normal(mean, variance, rndEngine);
this.mean = mean;
this.variance = variance;
}
代码示例来源:origin: de.sfb876/streams-core
public ColtGaussian(Double mean, Double variance, Long seed) {
rndEngine = new MersenneTwister64(seed.intValue());
this.rnd = new Normal(mean, variance, rndEngine);
this.mean = mean;
this.variance = variance;
}
代码示例来源:origin: openimaj/openimaj
Function(int ndims, MersenneTwister rng) {
super(rng);
final Normal normal = new Normal(0, 1, rng);
r = new double[ndims];
double sumSq = 0;
for (int i=0; i<ndims; i++) {
r[i] = normal.nextDouble();
sumSq += (r[i] * r[i]);
}
double norm = 1.0 / Math.sqrt(sumSq);
for (int i=0; i<ndims; i++) {
r[i] *= norm;
}
}
代码示例来源:origin: openimaj/openimaj
Function(int ndims, MersenneTwister rng) {
super(rng);
final Normal normal = new Normal(0, 1, rng);
r = new double[ndims];
double sumSq = 0;
for (int i=0; i<ndims; i++) {
r[i] = normal.nextDouble();
sumSq += (r[i] * r[i]);
}
double norm = 1.0 / Math.sqrt(sumSq);
for (int i=0; i<ndims; i++) {
r[i] *= norm;
}
}
代码示例来源:origin: openimaj/openimaj
Function(int ndims, MersenneTwister rng) {
super(rng);
final Uniform uniform = new Uniform(0, w, rng);
final Normal normal = new Normal(0, 1, rng);
b = (float) uniform.nextDouble();
// random direction
r = new double[ndims];
for (int i = 0; i < ndims; i++) {
r[i] = normal.nextDouble();
}
}
}
代码示例来源:origin: openimaj/openimaj
Function(int ndims, MersenneTwister rng) {
super(rng);
final Uniform uniform = new Uniform(0, w, rng);
final Normal normal = new Normal(0, 1, rng);
b = (float) uniform.nextDouble();
// random direction
r = new double[ndims];
for (int i = 0; i < ndims; i++) {
r[i] = normal.nextDouble();
}
}
}
代码示例来源:origin: openimaj/openimaj
Function(int ndims, MersenneTwister rng) {
super(rng);
final Uniform uniform = new Uniform(0, w, rng);
final Normal normal = new Normal(0, 1, rng);
b = (float) uniform.nextDouble();
// random direction
r = new double[ndims];
for (int i = 0; i < ndims; i++) {
r[i] = normal.nextDouble();
}
}
}
代码示例来源:origin: org.openimaj/nearest-neighbour
Function(int ndims, MersenneTwister rng) {
super(rng);
final Uniform uniform = new Uniform(0, w, rng);
final Normal normal = new Normal(0, 1, rng);
b = (float) uniform.nextDouble();
// random direction
r = new double[ndims];
for (int i = 0; i < ndims; i++) {
r[i] = normal.nextDouble();
}
}
}
代码示例来源:origin: org.openimaj/nearest-neighbour
Function(int ndims, MersenneTwister rng) {
super(rng);
final Uniform uniform = new Uniform(0, w, rng);
final Normal normal = new Normal(0, 1, rng);
b = (float) uniform.nextDouble();
// random direction
r = new double[ndims];
for (int i = 0; i < ndims; i++) {
r[i] = normal.nextDouble();
}
}
}
代码示例来源:origin: org.openimaj/nearest-neighbour
Function(int ndims, MersenneTwister rng) {
super(rng);
final Uniform uniform = new Uniform(0, w, rng);
final Normal normal = new Normal(0, 1, rng);
b = (float) uniform.nextDouble();
// random direction
r = new double[ndims];
for (int i = 0; i < ndims; i++) {
r[i] = normal.nextDouble();
}
}
}
代码示例来源:origin: openimaj/openimaj
Function(int ndims, MersenneTwister rng) {
super(rng);
final Uniform uniform = new Uniform(0, w, rng);
final Normal normal = new Normal(0, 1, rng);
b = (float) uniform.nextDouble();
// random direction
r = new double[ndims];
for (int i = 0; i < ndims; i++) {
r[i] = normal.nextDouble();
}
}
}
代码示例来源:origin: openimaj/openimaj
Function(int ndims, MersenneTwister rng) {
super(rng);
final Uniform uniform = new Uniform(0, w, rng);
final Normal normal = new Normal(0, 1, rng);
b = (float) uniform.nextDouble();
// random direction
r = new double[ndims];
for (int i = 0; i < ndims; i++) {
r[i] = normal.nextDouble();
}
}
}
代码示例来源:origin: org.openimaj/nearest-neighbour
Function(int ndims, MersenneTwister rng) {
super(rng);
final Uniform uniform = new Uniform(0, w, rng);
final Normal normal = new Normal(0, 1, rng);
b = (float) uniform.nextDouble();
// random direction
r = new double[ndims];
for (int i = 0; i < ndims; i++) {
r[i] = normal.nextDouble();
}
}
}
代码示例来源:origin: org.openimaj/nearest-neighbour
Function(int ndims, MersenneTwister rng) {
super(rng);
final Uniform uniform = new Uniform(0, w, rng);
final Normal normal = new Normal(0, 1, rng);
b = (float) uniform.nextDouble();
// random direction
r = new double[ndims];
for (int i = 0; i < ndims; i++) {
r[i] = normal.nextDouble();
}
}
}
代码示例来源:origin: openimaj/openimaj
Function(int ndims, MersenneTwister rng) {
super(rng);
final Uniform uniform = new Uniform(0, w, rng);
final Normal normal = new Normal(0, 1, rng);
b = (float) uniform.nextDouble();
// random direction
r = new double[ndims];
for (int i = 0; i < ndims; i++) {
r[i] = normal.nextDouble();
}
}
}
代码示例来源:origin: org.openimaj/nearest-neighbour
Function(int ndims, MersenneTwister rng) {
super(rng);
final Uniform uniform = new Uniform(0, w, rng);
final Normal normal = new Normal(0, 1, rng);
b = (float) uniform.nextDouble();
// random direction
r = new double[ndims];
for (int i = 0; i < ndims; i++) {
r[i] = normal.nextDouble();
}
}
}
代码示例来源:origin: broadgsa/gatk
@Test
public void testNormalDistribution() {
final double requiredPrecision = 1E-10;
final Normal n = new Normal(0.0, 1.0, null);
for( final double mu : new double[]{-5.0, -3.2, -1.5, 0.0, 1.2, 3.0, 5.8977} ) {
for( final double sigma : new double[]{1.2, 3.0, 5.8977} ) {
for( final double x : new double[]{-5.0, -3.2, -1.5, 0.0, 1.2, 3.0, 5.8977} ) {
n.setState(mu, sigma);
Assert.assertEquals(n.pdf(x), MathUtils.normalDistribution(mu, sigma, x), requiredPrecision);
Assert.assertEquals(Math.log10(n.pdf(x)), MathUtils.normalDistributionLog10(mu, sigma, x), requiredPrecision);
}
}
}
}
内容来源于网络,如有侵权,请联系作者删除!