欢迎关注博主主页,学习python视频资源 https://blog.csdn.net/q383700092/article/details/53763328 调参后结果非常理想 from sklearn.model_selection import GridSearchCV from sklearn.datasets import load_breast_cancer from xgboost import XGBClassifier from sklearn.model_selection
xgboost入门非常经典的材料,虽然读起来比较吃力,但是会有很大的帮助: 英文原文链接:https://www.analyticsvidhya.com/blog/2016/03/complete-guide-parameter-tuning-xgboost-with-codes-python/ 原文地址:Complete Guide to Parameter Tuning in XGBoost (with codes in Python) 译注:文内提供的代码和运行结果有一定差异,可以从这里下
Parallelism When Cross Validating XGBoost Models This raises the question as to how cross validation should be configured: Disable multi-threading support in XGBoost and allow cross validation to run on all cores. Disable multi-threading support in c
#!/bin/bash namespace=`kubectl get ns|grep '^te-'|grep -v datamgr|awk '{print $1}'` #--------------------------- for i in $namespace do podname=`kubectl get deploy -n $i |awk 'NR>1{if ($2>0) print $1}'` for j in $podname do kubectl scale --replicas=
