在deeplearning4j中创建具有多个标签和未知数量的类的DataSet

import org.nd4j.linalg.dataset.DataSet;
import org.nd4j.linalg.factory.Nd4j;

int numInputs = 10; // 输入特征的数量
int numOutputs = 3; // 输出标签的数量

INDArray inputFeatures = Nd4j.create(numExamples, numInputs);
INDArray outputLabels = Nd4j.create(numExamples, numOutputs);

// 填充输入特征矩阵
for (int i = 0; i < numExamples; i++) {
    for (int j = 0; j < numInputs; j++) {
        inputFeatures.putScalar(new int[]{i, j}, inputData[i][j]);
    }
}

// 填充输出标签矩阵
for (int i = 0; i < numExamples; i++) {
    for (int j = 0; j < numOutputs; j++) {
        outputLabels.putScalar(new int[]{i, j}, outputData[i][j]);
    }
}

DataSet dataSet = new DataSet(inputFeatures, outputLabels);