本文整理了Java中org.apache.mahout.math.Vector.getNumNonZeroElements()方法的一些代码示例，展示了Vector.getNumNonZeroElements()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.getNumNonZeroElements()方法的具体详情如下：
包路径：org.apache.mahout.math.Vector
类名称：Vector
方法名：getNumNonZeroElements

Vector.getNumNonZeroElements介绍

[英]Return the number of non zero elements in the vector.
[中]返回向量中非零元素的数量。

代码示例

代码示例来源：origin: apache/mahout

@Override
public int getNumNonZeroElements() {
 // Return the number of nonzeros in the recipient,
 // so potentially don't have to go through our iterator
 return vector.getNumNonZeroElements();
}

代码示例来源：origin: apache/mahout

@Override
 public int getNumNonZeroElements() {
  return delegate.getNumNonZeroElements();
 }
}

代码示例来源：origin: apache/mahout

@Override
public int getNumNonZeroElements() {
 return delegate.getNumNonZeroElements();
}

代码示例来源：origin: apache/mahout

@Override
public Matrix transpose() {
 SparseRowMatrix srm = new SparseRowMatrix(columns, rows);
 for (int i = 0; i < columns; i++) {
  Vector col = columnVectors[i];
  if (col.getNumNonZeroElements() > 0)
   // this should already be optimized
   srm.assignRow(i, col);
 }
 return srm;
}

代码示例来源：origin: apache/mahout

@Override
public Matrix transpose() {
 SparseColumnMatrix scm = new SparseColumnMatrix(columns, rows);
 for (int i = 0; i < rows; i++) {
  Vector row = rowVectors[i];
  if (row.getNumNonZeroElements() > 0) {
   scm.assignColumn(i, row);
  }
 }
 return scm;
}

代码示例来源：origin: apache/mahout

@Override
public void testSize() {
 assertEquals("size", 3, getTestVector().getNumNonZeroElements());
}

代码示例来源：origin: apache/mahout

@Override
public void testSize() {
 assertEquals("size", 3, getTestVector().getNumNonZeroElements());
}

代码示例来源：origin: apache/mahout

@Override
public void testSize() {
 assertEquals("size", 3, getTestVector().getNumNonZeroElements());
}

代码示例来源：origin: apache/mahout

Varint.writeUnsignedVarInt(vector.getNumNonZeroElements(), out);
Iterator<Element> iter = vector.nonZeroes().iterator();
if (sequential) {

代码示例来源：origin: apache/mahout

assertEquals(8, vector.getNumNonZeroElements());
assertEquals(7, vector.getNumNonZeroElements());
assertEquals(7, vector.getNumNonZeroElements());

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

@Override
 public int getNumNonZeroElements() {
  return delegate.getNumNonZeroElements();
 }
}

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

@Override
public int getNumNonZeroElements() {
 // Return the number of nonzeros in the recipient,
 // so potentially don't have to go through our iterator
 return vector.getNumNonZeroElements();
}

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

@Override
public Matrix transpose() {
 SparseRowMatrix srm = new SparseRowMatrix(columns, rows);
 for (int i = 0; i < columns; i++) {
  Vector col = columnVectors[i];
  if (col.getNumNonZeroElements() > 0)
   // this should already be optimized
   srm.assignRow(i, col);
 }
 return srm;
}

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

@Override
public Matrix transpose() {
 SparseColumnMatrix scm = new SparseColumnMatrix(columns, rows);
 for (int i = 0; i < rows; i++) {
  Vector row = rowVectors[i];
  if (row.getNumNonZeroElements() > 0) {
   scm.assignColumn(i, row);
  }
 }
 return scm;
}

代码示例来源：origin: cheng-li/pyramid

public static double density(DataSet dataSet){
  int nonZeros = IntStream.range(0,dataSet.getNumDataPoints()).parallel()
      .map(i -> dataSet.getRow(i).getNumNonZeroElements())
      .sum();
  return ((double)nonZeros)/(dataSet.getNumDataPoints()*dataSet.getNumFeatures());
}

代码示例来源：origin: cheng-li/pyramid

public static int[] numOfUsedFeaturesEachClass(LogisticRegression logisticRegression){
  int[] numbers = new int[logisticRegression.getNumClasses()];
  for (int k=0;k<logisticRegression.getNumClasses();k++){
    numbers[k] = logisticRegression.getWeights().getWeightsWithoutBiasForClass(k).getNumNonZeroElements();
  }
  return numbers;
}

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

@Override
 public Vector normalize(Vector vector) {
  if (vector.getNumNondefaultElements() == 0) {
   return vector;
  }

  // center non-zero elements
  double average = vector.norm(1) / vector.getNumNonZeroElements();
  for (Vector.Element e : vector.nonZeroes()) {
   e.set(e.get() - average);
  }
  return super.normalize(vector);
 }
}

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

@Override
 public Vector normalize(Vector vector) {
  if (vector.getNumNondefaultElements() == 0) {
   return vector;
  }

  // center non-zero elements
  double average = vector.norm(1) / vector.getNumNonZeroElements();
  for (Vector.Element e : vector.nonZeroes()) {
   e.set(e.get() - average);
  }
  return super.normalize(vector);
 }
}

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

@Override
 public Vector normalize(Vector vector) {
  if (vector.getNumNondefaultElements() == 0) {
   return vector;
  }

  // center non-zero elements
  double average = vector.norm(1) / vector.getNumNonZeroElements();
  for (Vector.Element e : vector.nonZeroes()) {
   e.set(e.get() - average);
  }
  return super.normalize(vector);
 }
}

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

@Test
public void testTraceDictionary() {
 StaticWordValueEncoder encoder1 = new StaticWordValueEncoder("first");
 StaticWordValueEncoder encoder2 = new StaticWordValueEncoder("second");
 
 Map<String, Set<Integer>> traceDictionary = Maps.newHashMap();
 InteractionValueEncoder interactions = new InteractionValueEncoder("interactions", encoder1, encoder2);
 interactions.setProbes(1);
 interactions.setTraceDictionary(traceDictionary);
 
 Vector v = new DenseVector(10);
 interactions.addInteractionToVector("a", "b", 1, v);
 
 assertEquals(1, v.getNumNonZeroElements());
 assertEquals(1, traceDictionary.size());
 assertEquals("interactions=a:b", getFirst(traceDictionary.keySet(), null));
}