Hanlp1.x的感知机在线训练，默认是结构化感知机，可以改成用平均感知机吗

nixl · January 29, 2020, 1:25pm

最近在拜读hanlp1.x的感知机模块源码，发现感知机的在线训练，默认是用结构化感知机，可以改成用平均感知机吗。不是说平均感知机的精确度更高么

hankcs · January 31, 2020, 11:12pm

单线程就是平均感知机。

hankcs/HanLP/blob/1e4e5a8d61f7869f690f41abd4b29aad260fd37a/src/main/java/com/hankcs/hanlp/model/perceptron/PerceptronTrainer.java#L131


logger.start("开始加载训练集...\n");
Instance[] instances = loadTrainInstances(trainingFile, mutableFeatureMap);
tagSet.lock();
logger.finish("\n加载完毕，实例一共%d句，特征总数%d\n", instances.length, mutableFeatureMap.size() * tagSet.size());


// 开始训练
ImmutableFeatureMap immutableFeatureMap = new ImmutableFeatureMap(mutableFeatureMap.featureIdMap, tagSet);
mutableFeatureMap = null;
double[] accuracy = null;


if (threadNum == 1)
{
    AveragedPerceptron model;
    model = new AveragedPerceptron(immutableFeatureMap);
    final double[] total = new double[model.parameter.length];
    final int[] timestamp = new int[model.parameter.length];
    int current = 0;
    for (int iter = 1; iter <= maxIteration; iter++)
    {
        Utility.shuffleArray(instances);
        for (Instance instance : instances)

nixl · February 7, 2020, 11:06am

我表达有误，我问的不是train，是在线学习learn，learn的时候，好像默认用的是structuredPerceptron，如果用平均感知机可以吗

hankcs · February 7, 2020, 3:27pm

一个实例如何shuffle？ n 个一模一样的感知机平均有何意义？