本文整理了Java中org.apache.commons.math3.stat.descriptive.moment.Mean.getResult()方法的一些代码示例，展示了Mean.getResult()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。Mean.getResult()方法的具体详情如下：
包路径：org.apache.commons.math3.stat.descriptive.moment.Mean
类名称：Mean
方法名：getResult

Mean.getResult介绍

暂无

代码示例

代码示例来源：origin: org.apache.commons/commons-math3

/**
 * Get the mean vector.
 * @return mean vector
 */
public double[] getResult() {
  double[] result = new double[means.length];
  for (int i = 0; i < result.length; ++i) {
    result[i] = means[i].getResult();
  }
  return result;
}

代码示例来源：origin: lenskit/lenskit

public AggregateResult(Context accum) {
    this.mrr = accum.allMean.getResult();
  }
}

代码示例来源：origin: lenskit/lenskit

public AggregateResult(Context accum) {
    this.map = accum.allMean.getResult();
  }
}

代码示例来源：origin: apache/accumulo

@Override
public double mean() {
 return mean.getResult();
}

代码示例来源：origin: OryxProject/oryx

log.info("Mean matching prefix: {}", meanMatchLength.getResult());
assertGreaterOrEqual(meanMatchLength.getResult(), 4.0);
log.info("Mean matching prefix: {}", meanMatchLength.getResult());
assertGreaterOrEqual(meanMatchLength.getResult(), 5.0);

代码示例来源：origin: lenskit/lenskit

@Nonnull
@Override
public MetricResult getAggregateMeasurements(Mean context) {
  return MetricResult.singleton(columnName, context.getResult());
}

代码示例来源：origin: lenskit/lenskit

@Nonnull
@Override
public MetricResult getAggregateMeasurements(Mean context) {
  logger.warn("Predict nDCG is deprecated, use nDCG in a rank context");
  return MetricResult.singleton(columnName, context.getResult());
}

代码示例来源：origin: lenskit/lenskit

@Nonnull
@Override
public MetricResult getAggregateMeasurements(Mean context) {
  return new LengthResult(context.getResult());
}

代码示例来源：origin: lenskit/lenskit

@Nonnull
@Override
public MetricResult getAggregateMeasurements(Context context) {
  return new PopResult(context.mean.getResult());
}

代码示例来源：origin: geogebra/geogebra

/**
 * Get the mean vector.
 * @return mean vector
 */
public double[] getResult() {
  double[] result = new double[means.length];
  for (int i = 0; i < result.length; ++i) {
    result[i] = means[i].getResult();
  }
  return result;
}

代码示例来源：origin: meyerjp3/psychometrics

public double getDindexUpper(){
  if(dIndex){
    return upper.getResult();
  }else{
    return Double.NaN;
  }
}

代码示例来源：origin: meyerjp3/psychometrics

/**
 * Mean square error of the estimate.
 *
 * @return mean square error.
 */
public double meanSquareError(){
  return mean.getResult();
}

代码示例来源：origin: meyerjp3/psychometrics

public double getDindexLower(){
  if(dIndex){
    return lower.getResult();
  }else{
    return Double.NaN;
  }
}

代码示例来源：origin: meyerjp3/psychometrics

public double getDIndex(){
  if(dIndex){
    return upper.getResult()-lower.getResult();
  }else{
    return Double.NaN;
  }
}

代码示例来源：origin: io.virtdata/virtdata-lib-realer

/**
 * Get the mean vector.
 * @return mean vector
 */
public double[] getResult() {
  double[] result = new double[means.length];
  for (int i = 0; i < result.length; ++i) {
    result[i] = means[i].getResult();
  }
  return result;
}

代码示例来源：origin: Jasig/uPortal

/**
 * Returns the mean of the values that have been added.
 *
 * <p>Double.NaN is returned if no values have been added.
 *
 * @return the mean
 */
@Override
public double getMean() {
  return _getMean().getResult();
}

代码示例来源：origin: ICOnator/ICOnator-backend

private BigDecimal getMean(List<Double> data) {
  Mean mean = new Mean();
  data.stream().forEach((value) -> mean.increment(value));
  return BigDecimal.valueOf(mean.getResult());
}

代码示例来源：origin: jpmml/jpmml-evaluator

static
  private Double evaluate(Collection<?> values){
    Mean statistic = new Mean();

    for(Object value : values){
      Number number = (Number)TypeUtil.parseOrCast(DataType.DOUBLE, value);

      statistic.increment(number.doubleValue());
    }

    return statistic.getResult();
  }
}

代码示例来源：origin: org.jpmml/pmml-extension

static
  private Double evaluate(Collection<?> values){
    Mean statistic = new Mean();

    for(Object value : values){
      Double doubleValue = (Double)TypeUtil.parseOrCast(DataType.DOUBLE, value);

      statistic.increment(doubleValue.doubleValue());
    }

    return statistic.getResult();
  }
}

代码示例来源：origin: org.jpmml/pmml-evaluator-extension

static
  private Double evaluate(Collection<?> values){
    Mean statistic = new Mean();

    for(Object value : values){
      Number number = (Number)TypeUtil.parseOrCast(DataType.DOUBLE, value);

      statistic.increment(number.doubleValue());
    }

    return statistic.getResult();
  }
}