weixin_40083227的博客

cv_params = {'gamma':[0.1,0.2,0.3,0.4,0.5,0.6], 'max_depth': [12,14,16,18,20,23,25,30,50], 'eta': [0.007,0.008,0.009,0.1,0.1], 'subsample': [0.7,0.9,0.3,0.2,0.4,0...

简单介绍：赛题来源是天池大数据的 “商场中精确定位用户所在店铺”。原数据有114万条，计算起来非常困难。为了让初学者有一个更好的学习体验，也更加基础，我将数据集缩小了之后放在这里，密码：ndfd。供大家下载。import pandas as pdimport xgboost as xgbfrom sklearn import preprocessing train = pd.rea...

import xgboost as xgb读取数据dtrain = xgb.DMatrix(‘demo/data/agaricus.txt.train’)dtest = xgb.DMatrix(‘demo/data/agaricus.txt.test’)通过 map 指定参数param = {‘max_depth’:2, ‘eta’:1, ‘silent’:1, ‘objective’:...