斯坦福大学NER的交叉验证 [英] Crossvalidation in Stanford NER

问题描述

我正在尝试在斯坦福大学NER 中使用交叉验证. 功能工厂列出了3个属性:

I'm trying to use cross validation in Stanford NER. The feature factory lists 3 properties:

numFolds    int 1   The number of folds to use for cross-validation.
startFold   int 1   The starting fold to run.
numFoldsToRun   int 1   The number of folds to run.

我认为应该使用

进行交叉验证.但是我不认为它们真正起作用.将numFolds设置为1或10根本不会改变训练的运行时间.奇怪的是，使用numFoldsToRun会给出以下警告:

which I think should be used for cross validation. But I don't think they actually work. Setting numFolds to 1 or 10 doesn't change the running time for training at all. And strangely, using numFoldsToRun gives the following warning:

Unknown property: |numFoldsToRun|

推荐答案

您是对的.这些选项尚未实现.如果您要进行交叉验证实验，则必须自己准备数据集来完全手动进行. (对不起！)

You're right. These options haven't been implemented. If you want to run cross-validation experiments, you'll have to do it completely manually by preparing the data sets yourself. (Sorry!)

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