fukaixin12的博客

import numpy as npimport pandas as pdfrom sklearn import preprocessingfrom sklearn.model_selection import train_test_splitfrom sklearn.preprocessing import StandardScaler,PolynomialFeaturesfrom ...

import numpy as npimport pandas as pdimport matplotlib.pyplot as pltfrom sklearn.model_selection import train_test_splitfrom sklearn.linear_model import LinearRegressionimport matplotlib as mpl...

#本例为人脸识别的SVM算法#首先fetch_lfw_people导入数据#其次对数据进行处理，首先得到X,y,分割数据集为训练集和测试集,PCA降维,然后训练#最后查看正确率，classification_report以及confusion_matrix 以及绘制出特征图和预测结果from __future__ import print_functionfrom time impo...

import csvimport randomimport mathimport operator#导入数据，并分为训练集和测试集def loadDataset(filename, split, trainingSet = [], testSet = []): with open(filename, 'rt') as csvfile: lines = csv....

#决策树算法#首先需要导入输入输出数据，并将输入输出数据转换为标准形式#然后使用sklearn的决策树tree进行处理#最后输出.dot文件结果，并用Graphviz输出决策树的图形#对已有的决策树对象，进行测试数据集predict测试from sklearn.feature_extraction import DictVectorizerimport csvfrom sklear...