org.apache.mahout.math.Vector.maxValueIndex()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.maxValueIndex()方法的一些代码示例,展示了Vector.maxValueIndex()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.maxValueIndex()方法的具体详情如下:
包路径:org.apache.mahout.math.Vector
类名称:Vector
方法名:maxValueIndex

Vector.maxValueIndex介绍

暂无

代码示例

代码示例来源:origin: apache/mahout

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

代码示例来源:origin: apache/mahout

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

代码示例来源:origin: apache/mahout

assertEquals(-1.0, max, 0.0);
int idx = vec1.maxValueIndex();
assertEquals(0, idx);
assertEquals(0.0, max, 0.0);
idx = vec1.maxValueIndex();
assertEquals(1, idx);
assertEquals(0.0, max, 0.0);
idx = vec1.maxValueIndex();
assertEquals(1, idx);
assertEquals(0.0, max, 0.0);
idx = vec1.maxValueIndex();
assertEquals(1, idx);

代码示例来源:origin: apache/mahout

assertEquals(1.0, max, 0.0);
int idx = vec1.maxValueIndex();
assertEquals(1, idx);
assertEquals(0.0, max, 0.0);
idx = vec1.maxValueIndex();
assertEquals(1, idx);
assertEquals(0.0, max, 0.0);
idx = vec1.maxValueIndex();
assertEquals(1, idx);
assertEquals(0.0, max, 0.0);
idx = vec1.maxValueIndex();
assertEquals(1, idx);

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

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

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

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

代码示例来源:origin: apache/mahout

assertEquals(dv1.maxValueIndex(), v1.maxValueIndex());

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

@Override
public Vector select(Vector probabilities) {
 int maxValueIndex = probabilities.maxValueIndex();
 Vector weights = new SequentialAccessSparseVector(probabilities.size());
 weights.set(maxValueIndex, 1.0);
 return weights;
}

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

@Override
public Vector select(Vector probabilities) {
 int maxValueIndex = probabilities.maxValueIndex();
 Vector weights = new SequentialAccessSparseVector(probabilities.size());
 weights.set(maxValueIndex, 1.0);
 return weights;
}

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

@Override
public Vector select(Vector probabilities) {
 int maxValueIndex = probabilities.maxValueIndex();
 Vector weights = new SequentialAccessSparseVector(probabilities.size());
 weights.set(maxValueIndex, 1.0);
 return weights;
}

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

@Override
public Vector select(Vector probabilities) {
 int maxValueIndex = probabilities.maxValueIndex();
 Vector weights = new SequentialAccessSparseVector(probabilities.size());
 weights.set(maxValueIndex, 1.0);
 return weights;
}

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

@Override
public Vector select(Vector probabilities) {
 int maxValueIndex = probabilities.maxValueIndex();
 Vector weights = new SequentialAccessSparseVector(probabilities.size());
 weights.set(maxValueIndex, 1.0);
 return weights;
}

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

@Override
public Vector select(Vector probabilities) {
 int maxValueIndex = probabilities.maxValueIndex();
 Vector weights = new SequentialAccessSparseVector(probabilities.size());
 weights.set(maxValueIndex, 1.0);
 return weights;
}

代码示例来源:origin: neo4j-graph-analytics/ml-models

public String predict(Map<String, Object> features) {
  Vector v = encoder.getVector(features);
  int o = learn.classifyFull(v).maxValueIndex();
  return encoder.outputIntToString(o);
}

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

private static void classifyAndWrite(List<Cluster> clusterModels, Double clusterClassificationThreshold,
  boolean emitMostLikely, SequenceFile.Writer writer, VectorWritable vw, Vector pdfPerCluster) throws IOException {
 Map<Text, Text> props = Maps.newHashMap();
 if (emitMostLikely) {
  int maxValueIndex = pdfPerCluster.maxValueIndex();
  WeightedPropertyVectorWritable weightedPropertyVectorWritable =
    new WeightedPropertyVectorWritable(pdfPerCluster.maxValue(), vw.get(), props);
  write(clusterModels, writer, weightedPropertyVectorWritable, maxValueIndex);
 } else {
  writeAllAboveThreshold(clusterModels, clusterClassificationThreshold, writer, vw, pdfPerCluster);
 }
}

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

private static void classifyAndWrite(List<Cluster> clusterModels, Double clusterClassificationThreshold,
  boolean emitMostLikely, SequenceFile.Writer writer, VectorWritable vw, Vector pdfPerCluster) throws IOException {
 Map<Text, Text> props = new HashMap<>();
 if (emitMostLikely) {
  int maxValueIndex = pdfPerCluster.maxValueIndex();
  WeightedPropertyVectorWritable weightedPropertyVectorWritable =
    new WeightedPropertyVectorWritable(pdfPerCluster.maxValue(), vw.get(), props);
  write(clusterModels, writer, weightedPropertyVectorWritable, maxValueIndex);
 } else {
  writeAllAboveThreshold(clusterModels, clusterClassificationThreshold, writer, vw, pdfPerCluster);
 }
}

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

private static void classifyAndWrite(List<Cluster> clusterModels, Double clusterClassificationThreshold,
  boolean emitMostLikely, SequenceFile.Writer writer, VectorWritable vw, Vector pdfPerCluster) throws IOException {
 Map<Text, Text> props = Maps.newHashMap();
 if (emitMostLikely) {
  int maxValueIndex = pdfPerCluster.maxValueIndex();
  WeightedPropertyVectorWritable weightedPropertyVectorWritable =
    new WeightedPropertyVectorWritable(pdfPerCluster.maxValue(), vw.get(), props);
  write(clusterModels, writer, weightedPropertyVectorWritable, maxValueIndex);
 } else {
  writeAllAboveThreshold(clusterModels, clusterClassificationThreshold, writer, vw, pdfPerCluster);
 }
}

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

@Override
public Vector classify(Vector instance) {
 Vector result = classifyNoLink(instance);
 // Find the max value's index.
 int max = result.maxValueIndex();
 result.assign(0);
 result.setQuick(max, 1.0);
 return result.viewPart(1, result.size() - 1);
}

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

@Override
public Vector classify(Vector instance) {
 Vector result = classifyNoLink(instance);
 // Find the max value's index.
 int max = result.maxValueIndex();
 result.assign(0);
 result.setQuick(max, 1.0);
 return result.viewPart(1, result.size() - 1);
}

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

@Override
public Vector classify(Vector instance) {
 Vector result = classifyNoLink(instance);
 // Find the max value's index.
 int max = result.maxValueIndex();
 result.assign(0);
 result.setQuick(max, 1.0);
 return result.viewPart(1, result.size() - 1);
}

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