weixin_41056428的博客

import csvimport numpy as npimport matplotlib.pyplot as pltdef newton(X, y): """ Input: X: np.array with shape [N, 3]. Input. y: np.array with shape [N, 1]. Label. Re...

import csvfrom sklearn import svmimport numpy as npfrom math import logimport operatordef dataSet(filename): ''' 获取iris数据集 ''' X_train, Y_train, X_test, Y_test = [], [], [], []...

import csvfrom math import sqrt, pi, exp, logdef read_data(filename): ''' 读数据，西瓜数据集3.0 :return: 返回数据集X 和标签集Y ''' X, Y = [], [] with open(filename) as f: reader = c...

import csvfrom sklearn import svmdef dataSet(filename): ''' 获取西瓜3.0alpha数据集 ''' X = [] Y = [] with open(filename) as f: reader = csv.reader(f) head_row = n...

import numpy as npdef dataSet(): ''' 西瓜3.0数据集离散化 ''' X = np.mat('2,3,3,2,1,2,3,3,3,2,1,1,2,1,3,1,2;\ 1,1,1,1,1,2,2,2,2,3,3,1,2,2,2,1,1;\ 2,3,2,3,2,2,2,2,3,1...

import operatorimport csvimport numpy as npdef readDataset(filename): ''' 读取数据 :param filename: 数据文件名，CSV格式 :return: 以列表形式返回数据列表和特征列表 ''' with open(filename) as f: ...

from math import logimport operatorimport csvdef readDataset(filename): ''' 读取数据 :param filename: 数据文件名，CSV格式 :return: 以列表形式返回数据列表和特征列表 ''' with open(filename) as f: ...

import matplotlib.pyplot as pltimport numpy as npfrom math import logimport operatorimport csvdef readDataset(filename): ''' 读取数据 :param filename: 数据文件名，CSV格式 :return: 以列表形式返回...

import csvimport numpy as npimport matplotlib.pyplot as pltdef readData(filename): """ 读取数据 :param filename: csv格式数据集 :return: X:list with shape[N,d], X1:shape[8,2], X2:shape[9,...

import csvimport numpy as npdef readData(filename): """ :param filename:cvs数据文件 :return: X1,y1,X2,y2,X3,y3 X: list with shape[50,4]，特征 //更新：此处应该为[x;1],为shape[50,5],后面对应...

import csvfrom math import logdef read_data(filename): ''' 读数据，西瓜数据集3.0, 只取离散属性数据 :return: 返回离散数据集X 和标签集Y ''' X, Y = [], [] with open(filename) as f: reader = csv....