今天,我们就以经典的机器学习算法SVM为例,抛开各种实际处理上的tricky, 实现一个简单纯洁的SVM,用CODING说话,揭开SVM的神秘面纱,让机器学习的过程更加接地气! 原理就不多说了:hinge损失函数+L2正则化+梯度下降,Python代码如下svm.py【注意,为了减少代码量,替身阅读效率,省掉了很多鲁棒性检测的代码】: #!/
乳腺癌python脚本 此脚本包括参数设置,自动调优,数据规范化,概率计算,分类预测等等 # -*- coding: utf-8 -*- """ @author: QQ:231469242 """ #标准化数据 from sklearn import preprocessing from sklearn.svm import SVC from sklearn.datasets import load_breast_cancer from sklearn.model_selection impor...
SVM-SMO 算法 python版 SMO算法实现 直接给出完整的代码如下 点击查看代码 # coding=utf-8importnumpyasnpimportrandomclassmySVM():def__init__(self, max_iter=1e6, kernel_type='linear', C=1.0, epsilon=1e-2): self.max_iter = max_iter self.kernel_type = kernel_type self.C = C self.epsil...
首先我们使用常用的酒的数据集,来简单使用一下SVM的分类方法。 # -*- coding:UTF-8 -*- import numpy as np import matplotlib.pyplot as plt from sklearn import svm from sklearn.datasets import load_wine f…
python实现 样本集下载:https:///626626cdllp/data-mining/blob/master/SVM/testSet.txt # -*- coding:UTF-8 -*- import matplotlib.pyplot as plt import numpy as np import random # 简化版smo # 函数说明:读取数据 def loadDataSet(fileName): alldata = np.loadtxt(fileName) dataMat = alldata[:...
# -*- coding: utf-8 -*- __author__ = 'Wsine' from numpy import * import matplotlib.pyplot as plt import operator import time def loadDataSet(fileName): dataMat = [] labelMat = [] with open(fileName) as fr: for line in fr.readlines(): lineArr = line.strip().split('\t') ...
#-*-coding:GBK -*- from sklearn import svm import numpy as np from sklearn import model_selection from sklearn.model_selection import GridSearchCV from sklearn.model_selection import train_test_split def init(s): it = {b'Iris-setosa': 0, b'Iris-versicolor': 1, b'Iris-virginica': ...
我们就利用之前的几个数据集,直接给出Python代码,看看运行效果: 测试1:身高体重数据 [python]view plaincopy # -*- coding: utf-8 -*- importnumpy as np importscipy as sp fromsklearnimportsvm fromsklearn.cross_validationimporttrain_test_split ...
乳腺癌python脚本 此脚本包括参数设置,自动调优,数据规范化,概率计算,分类预测等等 #-*-coding:utf-8-*-""" @author:QQ:231469242金融现金贷用户数据分析和用户画像 https://ke.qq.com/course/3063784?tuin=dcbf0ba""" #标准化数据fromsklearnimportpreprocessingfromsklearn.svmimportSVCfromsklearn.datasetsimport...
#-*-coding:UTF-8-*-importmatplotlib.pyplotaspltimportnumpyasnp"""函数说明:读取数据Parameters:fileName-文件名Returns:dataMat-数据矩阵 labelMat-数据标签Author:Jack CuiBlog:http://blog.csdn.net/c406495762Zhihu:https://www.zhihu.com/people/Jack--Cui/Modify:2017-09-21""" ...