Iris Plants Database ==================== Notes ----- Data Set Characteristics: :Number of Instances: 150 (50 in each of three classes) :Number of Attributes: 4 numeric, predictive attributes and the class :Attribute Information: - sepal length in c
上一次，写了MGD、SGD、MBGD的代码实现，现在，我们来康康实例
我们以大名鼎鼎的鸢尾花数据集为例:
https://archive.ics.uci.edu/ml/machine-learning-databases/iris/
下载这个iris.data即可
将其置于当前工作文件夹即可
先导入需要的库:
import numpy as np
import pandas as pd
import random
然后将我们上一次写的函数copy过来:
def MGD_train(X, y
