ChatGPT Java: 사용자 의도를 인식하는 챗봇을 구축하는 방법

// 导入所需的包
import java.io.*;
import java.util.*;
import org.apache.commons.math3.distribution.NormalDistribution;
import org.apache.commons.math3.linear.RealMatrix;
import smile.classification.NaiveBayes;
import smile.data.*;
import smile.io.*;

public class IntentRecognition {
    private static final int NUM_FEATURES = 10;  // 特征的数量

    public static void main(String[] args) {
        // 读取训练数据
        String[] attributes = {"feature1", "feature2", ... "feature10", "intent"};
        AttributeDataset dataset = new CSVAttributeDataset(
            "training_data.csv",  
            attributes,
            ",",  
            true
        );
        
        // 划分特征和目标向量
        DataFrame dataframe = dataset.toDataFrame();
        double[][] x = dataframe.select(0, NUM_FEATURES).toArray();
        int[] y = dataframe.column(NUM_FEATURES).toIntArray();
        
        // 训练分类器
        NaiveBayes classifier = new NaiveBayes();
        classifier.learn(x, y);
        
        // 测试分类器
        double[] testFeatures = {0.5, 0.2, ... 0.3};  // 待测试的特征向量
        int predictedIntent = classifier.predict(testFeatures);
        
        // 输出结果
        System.out.println("Predicted Intent: " + predictedIntent);
    }
}

public class AnswerGenerator {
    public static String generateWeatherAnswer(String city) {
        // 调用天气API获得天气信息
        String weatherInfo = WeatherAPI.getWeather(city);
        
        // 解析天气信息生成回答
        String answer = "今天"+city+"的天气是"+weatherInfo;
        
        return answer;
    }
}