本文整理了Java中org.apache.mahout.math.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:org.apache.mahout.math.jet.random.Normal
类名称:Normal
方法名:<init>
暂无
代码示例来源:origin: tdunning/t-digest
@Override
AbstractDistribution create(Random random) {
return new Normal(0.1, 0.1, random);
}
};
代码示例来源:origin: apache/mahout
@Test
public void testCdf() {
Random gen = RandomUtils.getRandom();
double offset = 0;
double scale = 1;
for (int k = 0; k < 20; k++) {
Normal dist = new Normal(offset, scale, null);
DistributionChecks.checkCdf(offset, scale, dist, breaks, quantiles);
offset = gen.nextGaussian();
scale = Math.exp(3 * gen.nextGaussian());
}
}
代码示例来源:origin: apache/mahout
@Test
public void consistency() {
Random gen = RandomUtils.getRandom();
double offset = 0;
double scale = 1;
Normal dist = new Normal(offset, scale, RandomUtils.getRandom());
for (int k = 0; k < 20; k++) {
dist.setState(offset, scale);
DistributionChecks.checkDistribution(dist, breaks, offset, scale, 10000);
offset = gen.nextGaussian();
scale = Math.exp(3 * gen.nextGaussian());
}
}
代码示例来源:origin: apache/mahout
@Test
public void testToString() {
assertEquals("org.apache.mahout.math.jet.random.Normal(m=1.300000, sd=5.900000)",
new Normal(1.3, 5.9, null).toString());
}
}
代码示例来源:origin: apache/mahout
@Test
public void testSetState() throws Exception {
Normal dist = new Normal(0, 1, RandomUtils.getRandom());
dist.setState(1.3, 5.9);
DistributionChecks.checkDistribution(dist, breaks, 1.3, 5.9, 10000);
}
代码示例来源:origin: addthis/stream-lib
@Test
public void testNarrowNormal() {
// this mixture of a uniform and normal distribution has a very narrow peak which is centered
// near the median. Our system should be scale invariant and work well regardless.
final Random gen = RandomUtils.getRandom();
AbstractContinousDistribution mix = new AbstractContinousDistribution() {
AbstractContinousDistribution normal = new Normal(0, 1e-5, gen);
AbstractContinousDistribution uniform = new Uniform(-1, 1, gen);
@Override
public double nextDouble() {
double x;
if (gen.nextDouble() < 0.5) {
x = uniform.nextDouble();
} else {
x = normal.nextDouble();
}
return x;
}
};
for (int i = 0; i < repeats(); i++) {
runTest(mix, 100, new double[]{0.001, 0.01, 0.1, 0.3, 0.5, 0.7, 0.9, 0.99, 0.999}, "mixture", false, gen);
}
}
代码示例来源:origin: apache/mahout
Vector v1 = v0.assign(new Normal(0, 1, gen));
assertSame(v0, v1);
Vector v2 = vectorToTest(20).assign(new Normal(0, 1, gen));
Vector dv1 = new DenseVector(v1);
Vector dv2 = new DenseVector(v2);
代码示例来源:origin: tdunning/bandit-ranking
@Override
public AbstractContinousDistribution posteriorDistribution() {
return new Normal(m, Math.sqrt(ss / n), gen);
}
代码示例来源:origin: tdunning/bandit-ranking
@Override
public DistributionWithMean nextDistribution() {
double mean = gen.nextDouble();
return new DistributionWithMean(new Normal(mean, sd, gen), mean);
}
}
代码示例来源:origin: tdunning/log-synth
private void init() {
if (max <= min) {
throw new IllegalArgumentException("Parameter max must be greater than min");
}
if (max - min < 0.1 * sd) {
throw new IllegalArgumentException("Value of max-min is too small, should be > 0.1 * sd");
}
if (Double.isNaN(sd)) {
sd = 1 / precision;
}
if (seed != Integer.MAX_VALUE) {
rand = new Normal(mean, sd, new Random(seed));
} else {
rand = new Normal(mean, sd, new Random());
}
}
代码示例来源:origin: cloudera/mahout
@Test
public void testCdf() {
Random gen = RandomUtils.getRandom();
double offset = 0;
double scale = 1;
for (int k = 0; k < 20; k++) {
Normal dist = new Normal(offset, scale, null);
DistributionChecks.checkCdf(offset, scale, dist, breaks, quantiles);
offset = gen.nextGaussian();
scale = Math.exp(3 * gen.nextGaussian());
}
}
代码示例来源:origin: cloudera/mahout
@Test
public void consistency() throws Exception {
Random gen = RandomUtils.getRandom();
double offset = 0;
double scale = 1;
Normal dist = new Normal(offset, scale, RandomUtils.getRandom());
for (int k = 0; k < 20; k++) {
dist.setState(offset, scale);
DistributionChecks.checkDistribution(dist, breaks, offset, scale, 10000);
offset = gen.nextGaussian();
scale = Math.exp(3 * gen.nextGaussian());
}
}
代码示例来源:origin: cloudera/mahout
@Test
public void testToString() {
assertEquals("org.apache.mahout.math.jet.random.Normal(m=1.300000, sd=5.900000)",
new Normal(1.3, 5.9, null).toString());
}
}
代码示例来源:origin: cloudera/mahout
@Test
public void testSetState() throws Exception {
Normal dist = new Normal(0, 1, RandomUtils.getRandom());
dist.setState(1.3, 5.9);
DistributionChecks.checkDistribution(dist, breaks, 1.3, 5.9, 10000);
}
代码示例来源:origin: org.apache.mahout/mahout-mrlegacy
@Test
public void testStdDev2() throws Exception {
Path input = getTestTempFilePath("stdDev/counts.file");
Path output = getTestTempFilePath("stdDev/output.file");
FileSystem fs = FileSystem.get(input.toUri(), conf);
SequenceFile.Writer writer = new SequenceFile.Writer(fs, conf, input, IntWritable.class,
DoubleWritable.class);
Random random = RandomUtils.getRandom();
Normal normal = new Normal(5, 3, random);
for (int i = 0; i < 1000000; i++) {
writer.append(new IntWritable(i), new DoubleWritable((long) normal.nextInt()));
}
writer.close();
double v = BasicStats.stdDev(input, output, conf);
assertEquals(3, v, 0.02);
}
代码示例来源:origin: org.apache.mahout/mahout-mrlegacy
@Test
public void testEntropy() {
Auc auc = new Auc();
Random gen = RandomUtils.getRandom();
Normal n0 = new Normal(-1, 1, gen);
Normal n1 = new Normal(1, 1, gen);
for (int i=0; i<100000; i++) {
double score = n0.nextDouble();
double p = n1.pdf(score) / (n0.pdf(score) + n1.pdf(score));
auc.add(0, p);
score = n1.nextDouble();
p = n1.pdf(score) / (n0.pdf(score) + n1.pdf(score));
auc.add(1, p);
}
Matrix m = auc.entropy();
assertEquals(-0.35, m.get(0, 0), 0.02);
assertEquals(-2.36, m.get(0, 1), 0.02);
assertEquals(-2.36, m.get(1, 0), 0.02);
assertEquals(-0.35, m.get(1, 1), 0.02);
}
}
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