我有以下lambda表达式：
public static ArrayList<Sample> getSamplesWithFeatureValueGT(List<Sample> samples, FeatureLabel feature, int value) {
return samples.stream().filter(x -> x.features.get(feature).compareTo(new BigDecimal(Double.toString(value))) > 0).collect(Collectors.toCollection(ArrayList::new));
}
每个Sample对象包含HashMap<FeatureLabel, BigDecimal> feature字段，而FeatureLabel是枚举。
我正在尝试过滤样本集合，并仅获取某些FeatureLabel值小于一定数量的样本。
我正在使用包含297个示例对象的List进行测试，并且收到StackOverflow错误，如下所示：
Exception in thread "main" java.lang.StackOverflowError
at java.util.stream.AbstractPipeline.wrapSink(AbstractPipeline.java:548)
at java.util.stream.AbstractPipeline.wrapAndCopyInto(AbstractPipeline.java:502)
at java.util.stream.ReduceOps$ReduceOp.evaluateSequential(ReduceOps.java:708)
at java.util.stream.AbstractPipeline.evaluate(AbstractPipeline.java:234)
at java.util.stream.ReferencePipeline.collect(ReferencePipeline.java:499)
at uk.ac.dariosdesk.simpledecisiontree.TreeUtils.getSamplesWithFeatureValueGT(TreeUtils.java:72)
at uk.ac.dariosdesk.simpledecisiontree.ContinuousFeature.CalculateEntropySplittingOnFeature(ContinuousFeature.java:46)
at uk.ac.dariosdesk.simpledecisiontree.ContinuousFeature.lambda$CalculateCutOffPoint$0(ContinuousFeature.java:38)
at uk.ac.dariosdesk.simpledecisiontree.ContinuousFeature$$Lambda$9/1848402763.compare(Unknown Source)
然后在ContinuousFeature.java:46我有：
List<Sample> samplesGreaterThanCutOff = TreeUtils.getSamplesWithFeatureValueGT(samples, super.featureName, cutOffPoint);
这是第38行调用的函数的一部分：
cutOffPoint = IntStream.range(minValue.intValue(), maxValue.intValue())
.boxed()
.min((o1, o2) -> Double.compare(CalculateEntropySplittingOnFeature(samples, o1), CalculateEntropySplittingOnFeature(samples, o2))).get();
}
基本上，行CalculateEntropySplittingOnFeature会多次调用我的getSamplesWithFeatureValueGT（并且它的等效LT小于），以根据要素属性过滤样本列表。
有什么建议吗？