淘宝网站商品所有分类ID 名称 品牌 cid,parent_cid,name,is_leaf,sort_order,feature_list "50050378","50016422","食用油/调味油","false","92","" "50016849","50025689","肉制品","true","0","" "50025694","50025689","低温即食","true","9","" "50008438","50025689","其它","true","0","" "50025687","50025689","海鲜","true","22","" "50025686","50025689","素火锅料","true","21","" "50016422","0","粮油米面/南北干货/调味品","false","86","" "50009836","50050378","其它","true","35","" "50050391","50050378","菜籽油","true","12","" "50050393","50050378","花生油","true","14","" "50050394","50050378","花椒油","true","15","" "50050395","50050378","椰子油","true","16","" "50050396","50050378","橄榄油","true","17","" "50050397","50050378","山茶油","true","18","" "50017141","50050378","鱼露","true","11","" "50025676","50050378","麻油","true","12","" "50013185","50050378","蚝油","true","7","" "50050379","50050378","大豆油","true","0","" "50050380","50050378","玉米油","true","1","" "50050381","50050378","调和油","true","2","" "50050382","50050378","红花油","true","3","" "50050383","50050378","香油","true","4","" "50050385","50050378","核桃油","true","6","" "50050388","50050378","葡萄籽油","true","9","" "50050390","50050378","米糠油","true","11","" "50025685","50025689","肉类火锅料","true","20","" "50025683","50025689","水饺/馄饨","true","18","" "50025684","50025689","面食","true","19","" "50025689","50016422","方便速食","false","86","" "50016846","50025689","速食粥","true","2","" "50016847","50025689","速食汤","true","3","" "50016848","50025689","方便米饭","true","4","" "50016851","50025689","意大利面","true","7","" "50016853","50025689","汤圆","true","9","" "50016854","50025689","煎饼","true","10","" "50016855","50025689","粽子","true","0","" "50017231","50025689","冷面","true","17","" "50010696","50016422","烘焙原料/辅料/食品添加剂","true","71","" "50016845","50025689","方便面/粉丝/米线","true","0","" "50016850","50025689","面条/挂面（待煮面条）","true","0","" "50016852","50025689","年糕","true","0","" "50016443","50016422","其他食品","true","82","" "50050573","50025682","熏腊/香肠/火腿制品","false","36","" "50050574","50050573","香肠/腊肠","true","36","" "50016816","500

#glmnet包含有线性回归，逻辑回归，泊松计数模型，cox回归模型，多分类逻辑回归多响应线性回归 #阿法系数=0是岭回归，阿法系数=1，是lasso回归 ############################################################ data(QuickStartExample) #20 Independent variables and 1 dependent variable fit<-glmnet(x,y) #查看计算路径 print(fit)#Df是非零系数的个数，第三列是惩罚力度，第二列是相应的惩罚力度对应的解释偏差百分比 #利用coef来提取模型的系数 coef(fit,s=0.1) #可视化 plot(fit) #预测 #参数newx用来设置输入数据，s用来设置朗姆塔（惩罚力度）的值 nx<-matrix(rnorm(10*20),10,20) predict(fit,newx=nx,s=c(0.1,0.05)) #交叉验证，筛选最优的朗姆塔的值，cv.glmnet函数实现这个功能 cvfit<-cv.glmnet(x,y) plot(cvfit)#红色散点为交叉验证的散点图，两条垂直的虚线为交叉验证后选定的朗姆塔 #提取最优的朗姆塔的值 cvfit$lambda.min#均方误差最小 cvfit$lambda.1se#一倍标准差 #根据朗姆塔来取得系数 coef(cvfit,s='lambda.min') #将稀疏矩阵转化为传统矩阵 as.matrix(coef(cvfit,s='lambda.min'))

获取时间为2020年3月18日，poi数据字段十分详细，依据高德开放平台API获取的所有类型检索的POI数据包含手机号等联系方式信息。本数据为csv表格文件类型。共包含北京市 通州区、大兴区POI信息。

资源为高德地图南京市所有分类下的全字段全部poi数据 共计32w条+，采集时间为2020年7月15日。该资源仅供个人学习研究使用，如有侵权或其他违反相关利益行为请联系我。

去除商铺导航栏上所有分类字样代码 将代码加到最前面 就能取消掉所有分类，删除就能还原