# -*- coding: utf-8 -*-"""Created on Tue May 22 15:56:56 2018@author: dell"""import numpy as npclass Perceptron(object):? ? def __init__(self,eta=0.01,n_iter=10):? ? ? ? self.eta=eta;? ? ? ? self.n_iter=n_iter? ? ? ? pass? ? def fit(self,X,y):? ? ? ? self.w_=np.zero(1+x.shape[1]);? ? ? ? self.errors_=[]? ? ? ? for _ in range(self,n_iter):? ? ? ? ? ? errors_=0? ? ? ? ? ? for Xi,target in zip(x,y):? ? ? ? ? ? ? ? update=self.eta*(target-self.predict(Xi))? ? ? ? ? ? ? ? self.w_[1:]+=update*Xi? ? ? ? ? ? ? ? self.w_[0]+=update;? ? ? ? ? ? ? ? errors+=int(update!=0.0)? ? ? ? ? ? ? ? self.errors_.append(errors)? ? ? ? ? ? ? ? pass? ? ? ? ? ? pass? ? def net_input(self,X):? ? ? ? return np.dot(x,self.w_[1:])+self.w_[0]? ? ? ? pass? ? def predict(self,x):? ? ? ? return np.where(self.net_input(x)>=0.0,1,-1)? ? ? ? pass? ? passfile="iris.date.csv.txt"import pandas as pddf=pd.read_csv(file,header=None)import matplotlib.pyplot as pltimport numpy as npy=df.loc[0:100,4].valuesy=np.where(y=='Iris-setosa',-1,1)print (y)X=df.iloc[0:100,[0,2]].valuesprint (X)plt.scatter(X[0:49,0],X[0:49,1],color='red',market='o',label='setosa')plt.scatter(X[50:100,0],X[50:100,1],color='blue',market='x',label='versicolor')plt.xlabel('花瓣長(zhǎng)度')plt,ylabel('花莖長(zhǎng)度')?plt,legend(loc='upper left')plt.show() ??