org.apache.mahout.math.Vector.getDistanceSquared()方法的使用及代码示例

x33g5p2x  于2022-02-01 转载在 其他  
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本文整理了Java中org.apache.mahout.math.Vector.getDistanceSquared()方法的一些代码示例，展示了Vector.getDistanceSquared()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。Vector.getDistanceSquared()方法的具体详情如下：
包路径：org.apache.mahout.math.Vector
类名称：Vector
方法名：getDistanceSquared

Vector.getDistanceSquared介绍

[英]Get the square of the distance between this vector and the other vector.
[中]得到这个向量和另一个向量之间距离的平方。

代码示例

代码示例来源：origin: apache/mahout

@Override
public double getDistanceSquared(Vector v) {
 return delegate.getDistanceSquared(v);
}

代码示例来源：origin: apache/mahout

@Override
public double getDistanceSquared(Vector v) {
 return delegate.getDistanceSquared(v);
}

代码示例来源：origin: apache/mahout

private static void doTestGetDistanceSquared(Vector v, Vector w) {
 double expected = v.minus(w).getLengthSquared();
 assertEquals(expected, v.getDistanceSquared(w), 1.0e-6);
}

代码示例来源：origin: apache/mahout

@Test
public void testSmallDistances() {
 for (double fuzz : new double[]{1.0e-5, 1.0e-6, 1.0e-7, 1.0e-8, 1.0e-9, 1.0e-10}) {
  MultiNormal x = new MultiNormal(fuzz, new ConstantVector(0, 20));
  for (int i = 0; i < 10000; i++) {
   final T v1 = vectorToTest(20);
   Vector v2 = v1.plus(x.sample());
   if (1 + fuzz * fuzz > 1) {
    String msg = String.format("fuzz = %.1g, >", fuzz);
    assertTrue(msg, v1.getDistanceSquared(v2) > 0);
    assertTrue(msg, v2.getDistanceSquared(v1) > 0);
   } else {
    String msg = String.format("fuzz = %.1g, >=", fuzz);
    assertTrue(msg, v1.getDistanceSquared(v2) >= 0);
    assertTrue(msg, v2.getDistanceSquared(v1) >= 0);
   }
  }
 }
}

代码示例来源：origin: apache/mahout

@Test
public void testGetDistanceSquared() {
 Vector other = new RandomAccessSparseVector(test.size());
 other.set(1, -2);
 other.set(2, -5);
 other.set(3, -9);
 other.set(4, 1);
 double expected = test.minus(other).getLengthSquared();
 assertTrue("a.getDistanceSquared(b) != a.minus(b).getLengthSquared",
       Math.abs(expected - test.getDistanceSquared(other)) < 10.0E-7);
}

代码示例来源：origin: apache/mahout

@Test
public void testEarlyStop() {
 Matrix a = getA();
 Vector b = getB();    
 ConjugateGradientSolver solver = new ConjugateGradientSolver();
 
 // specifying a looser max error will result in few iterations but less accurate results
 Vector x = solver.solve(a, b, null, 10, 0.1);
 double distance = Math.sqrt(a.times(x).getDistanceSquared(b));
 assertTrue(distance > EPSILON);
 assertEquals(0.0, distance, 0.1); // should be equal to within the error specified
 assertEquals(7, solver.getIterations()); // should have taken fewer iterations
 
 // can get a similar effect by bounding the number of iterations
 x = solver.solve(a, b, null, 7, ConjugateGradientSolver.DEFAULT_MAX_ERROR);    
 distance = Math.sqrt(a.times(x).getDistanceSquared(b));
 assertTrue(distance > EPSILON);
 assertEquals(0.0, distance, 0.1);
 assertEquals(7, solver.getIterations()); 
}

代码示例来源：origin: apache/mahout

@Test
public void testConjugateGradientSolver() {
 Matrix a = getA();
 Vector b = getB();
 
 ConjugateGradientSolver solver = new ConjugateGradientSolver();
 Vector x = solver.solve(a, b);
 
 assertEquals(0.0, Math.sqrt(a.times(x).getDistanceSquared(b)), EPSILON);    
 assertEquals(0.0, solver.getResidualNorm(), ConjugateGradientSolver.DEFAULT_MAX_ERROR);
 assertEquals(10, solver.getIterations());
}

代码示例来源：origin: apache/mahout

@Test
public void testConditionedConjugateGradientSolver() {
 Matrix a = getIllConditionedMatrix();
 Vector b = getB();
 Preconditioner conditioner = new JacobiConditioner(a);
 ConjugateGradientSolver solver = new ConjugateGradientSolver();
 
 Vector x = solver.solve(a, b, null, 100, ConjugateGradientSolver.DEFAULT_MAX_ERROR);
 double distance = Math.sqrt(a.times(x).getDistanceSquared(b));
 assertEquals(0.0, distance, EPSILON);
 assertEquals(0.0, solver.getResidualNorm(), ConjugateGradientSolver.DEFAULT_MAX_ERROR);
 assertEquals(16, solver.getIterations());
 
 Vector x2 = solver.solve(a, b, conditioner, 100, ConjugateGradientSolver.DEFAULT_MAX_ERROR);
 // the Jacobi preconditioner isn't very good, but it does result in one less iteration to converge
 distance = Math.sqrt(a.times(x2).getDistanceSquared(b));
 assertEquals(0.0, distance, EPSILON);
 assertEquals(0.0, solver.getResidualNorm(), ConjugateGradientSolver.DEFAULT_MAX_ERROR);
 assertEquals(15, solver.getIterations());
}

代码示例来源：origin: apache/mahout

assertEquals(0, dv1.plus(dv2).getDistanceSquared(v1.plus(v2)), FUZZ);
assertEquals(0, dv1.plus(dv2).getDistanceSquared(v1.plus(dv2)), FUZZ);
assertEquals(0, dv1.plus(dv2).getDistanceSquared(v1.plus(sv2)), FUZZ);
assertEquals(0, dv1.plus(dv2).getDistanceSquared(sv1.plus(v2)), FUZZ);
assertEquals(0, dv1.times(dv2).getDistanceSquared(v1.times(v2)), FUZZ);
assertEquals(0, dv1.times(dv2).getDistanceSquared(v1.times(dv2)), FUZZ);
assertEquals(0, dv1.times(dv2).getDistanceSquared(v1.times(sv2)), FUZZ);
assertEquals(0, dv1.times(dv2).getDistanceSquared(sv1.times(v2)), FUZZ);
assertEquals(0, dv1.minus(dv2).getDistanceSquared(v1.minus(v2)), FUZZ);
assertEquals(0, dv1.minus(dv2).getDistanceSquared(v1.minus(dv2)), FUZZ);
assertEquals(0, dv1.minus(dv2).getDistanceSquared(v1.minus(sv2)), FUZZ);
assertEquals(0, dv1.minus(dv2).getDistanceSquared(sv1.minus(v2)), FUZZ);
assertEquals(0, dv1.divide(z).getDistanceSquared(v1.divide(z)), 1.0e-12);
assertEquals(0, dv1.times(z).getDistanceSquared(v1.times(z)), 1.0e-12);
assertEquals(0, dv1.plus(z).getDistanceSquared(v1.plus(z)), 1.0e-12);
assertEquals(dv1.getDistanceSquared(dv2), v1.getDistanceSquared(v2), FUZZ);
assertEquals(dv1.getDistanceSquared(dv2), dv1.getDistanceSquared(v2), FUZZ);
assertEquals(dv1.getDistanceSquared(dv2), sv1.getDistanceSquared(v2), FUZZ);
assertEquals(dv1.getDistanceSquared(dv2), v1.getDistanceSquared(dv2), FUZZ);
assertEquals(dv1.getDistanceSquared(dv2), v1.getDistanceSquared(sv2), FUZZ);
assertEquals(dv1.getDistanceSquared(dv2), v1.getDistanceSquared(v2), FUZZ);
assertEquals(dv1.getDistanceSquared(dv2), dv1.getDistanceSquared(v2), FUZZ);
assertEquals(dv1.getDistanceSquared(dv2), sv1.getDistanceSquared(v2), FUZZ);
assertEquals(dv1.getDistanceSquared(dv2), v1.getDistanceSquared(dv2), FUZZ);

代码示例来源：origin: org.apache.mahout/mahout-math

@Override
public double getDistanceSquared(Vector v) {
 return delegate.getDistanceSquared(v);
}

代码示例来源：origin: org.apache.mahout/mahout-mr

@Override
public double distance(Vector v1, Vector v2) {
 return v2.getDistanceSquared(v1);
}

代码示例来源：origin: cloudera/mahout

@Override
 public double getDistanceSquared(Vector v) {
  return delegate.getDistanceSquared(v);
 }
}

代码示例来源：origin: org.apache.mahout/mahout-core

@Override
public double distance(Vector v1, Vector v2) {
 return v2.getDistanceSquared(v1);
}

代码示例来源：origin: org.apache.mahout/mahout-math

@Override
public double getDistanceSquared(Vector v) {
 return delegate.getDistanceSquared(v);
}

代码示例来源：origin: org.apache.mahout/mahout-mrlegacy

@Override
public double distance(Vector v1, Vector v2) {
 return v2.getDistanceSquared(v1);
}

代码示例来源：origin: org.apache.mahout/mahout-mrlegacy

@Test
 public void testSolver() throws Exception {
  File testData = getTestTempDir("testdata");
  DistributedRowMatrix matrix = new TestDistributedRowMatrix().randomDistributedMatrix(
    10, 10, 10, 10, 10.0, true, testData.getAbsolutePath());
  matrix.setConf(getConfiguration());
  Vector vector = randomVector(matrix.numCols(), 10.0);
  
  DistributedConjugateGradientSolver solver = new DistributedConjugateGradientSolver();
  Vector x = solver.solve(matrix, vector);

  Vector solvedVector = matrix.times(x);    
  double distance = Math.sqrt(vector.getDistanceSquared(solvedVector));
  assertEquals(0.0, distance, EPSILON);
 }
}

代码示例来源：origin: cloudera/mahout

@Test
public void testGetDistanceSquared() {
 Vector other = new RandomAccessSparseVector(test.size());
 other.set(1, -2);
 other.set(2, -5);
 other.set(3, -9);
 other.set(4, 1);
 double expected = test.minus(other).getLengthSquared();
 assertTrue("a.getDistanceSquared(b) != a.minus(b).getLengthSquared",
       Math.abs(expected - test.getDistanceSquared(other)) < 10.0E-7);
}

代码示例来源：origin: cloudera/mahout

@Test
public void testConjugateGradientSolver() {
 Matrix a = getA();
 Vector b = getB();
 
 ConjugateGradientSolver solver = new ConjugateGradientSolver();
 Vector x = solver.solve(a, b);
 
 assertEquals(0.0, Math.sqrt(a.times(x).getDistanceSquared(b)), EPSILON);    
 assertEquals(0.0, solver.getResidualNorm(), ConjugateGradientSolver.DEFAULT_MAX_ERROR);
 assertEquals(10, solver.getIterations());
}

代码示例来源：origin: org.apache.mahout/mahout-mrlegacy

@Test
public void testMatrixTimesVector() throws Exception {
 Vector v = new RandomAccessSparseVector(50);
 v.assign(1.0);
 Matrix m = SolverTest.randomSequentialAccessSparseMatrix(100, 90, 50, 20, 1.0);
 DistributedRowMatrix dm = randomDistributedMatrix(100, 90, 50, 20, 1.0, false);
 dm.setConf(getConfiguration());
 Vector expected = m.times(v);
 Vector actual = dm.times(v);
 assertEquals(0.0, expected.getDistanceSquared(actual), EPSILON);
}

代码示例来源：origin: org.apache.mahout/mahout-mrlegacy

@Test
public void testMatrixTimesSquaredVector() throws Exception {
 Vector v = new RandomAccessSparseVector(50);
 v.assign(1.0);
 Matrix m = SolverTest.randomSequentialAccessSparseMatrix(100, 90, 50, 20, 1.0);
 DistributedRowMatrix dm = randomDistributedMatrix(100, 90, 50, 20, 1.0, false);
 dm.setConf(getConfiguration());
 Vector expected = m.timesSquared(v);
 Vector actual = dm.timesSquared(v);
 assertEquals(0.0, expected.getDistanceSquared(actual), 1.0e-9);
}

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