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
暂无
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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