Stanford的吴恩达的机器学习课程的房屋预测问题中的数据，这个数据中有47个样本，每个样本包含（面积、房间数、价格），即样本的特征是(面积、房间数)，而目标是价格。数据通常存储在文件中，因为未介绍文件读写，这里直接将数据放在一个list变量中：
house_data = [
2104,3,399900,
1600,3,329900,
2400,3,369000,
1416,2,232000,
3000,4,539900,
1985,4,299900,
1534,3,314900,
1427,3,198999,
1380,3,212000,
1494,3,242500,
1940,4,239999,
2000,3,347000,
1890,3,329999,
4478,5,699900,
1268,3,259900,
2300,4,449900,
1320,2,299900,
1236,3,199900,
2609,4,499998,
3031,4,599000,
1767,3,252900,
1888,2,255000,
1604,3,242900,
1962,4,259900,
3890,3,573900,
1100,3,249900,
1458,3,464500,
2526,3,469000,
2200,3,475000,
2637,3,299900,
1839,2,349900,
1000,1,169900,
2040,4,314900,
3137,3,579900,
1811,4,285900,
1437,3,249900,
1239,3,229900,
2132,4,345000,
4215,4,549000,
2162,4,287000,
1664,2,368500,
2238,3,329900,
2567,4,314000,
1200,3,299000,
852,2,179900,
1852,4,299900,
1203,3,239500]
C++ array:
double house_data[][3]{
2104,3,399900,
1600,3,329900,
2400,3,369000,
1416,2,232000,
3000,4,539900,
1985,4,299900,
1534,3,314900,
1427,3,198999,
1380,3,212000,
1494,3,242500,
1940,4,239999,
2000,3,347000,
1890,3,329999,
4478,5,699900,
1268,3,259900,
2300,4,449900,
1320,2,299900,
1236,3,199900,
2609,4,499998,
3031,4,599000,
1767,3,252900,
1888,2,255000,
1604,3,242900,
1962,4,259900,
3890,3,573900,
1100,3,249900,
1458,3,464500,
2526,3,469000,
2200,3,475000,
2637,3,299900,
1839,2,349900,
1000,1,169900,
2040,4,314900,
3137,3,579900,
1811,4,285900,
1437,3,249900,
1239,3,229900,
2132,4,345000,
4215,4,549000,
2162,4,287000,
1664,2,368500,
2238,3,329900,
2567,4,314000,
1200,3,299000,
852,2,179900,
1852,4,299900,
1203,3,239500};
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