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
题目来源:https://uva.onlinejudge.org/index.php?option=com_onlinejudge&Itemid=8&category=3&page=show_problem&problem=39 Stacking Boxes Background Some concepts in Mathematics and Computer Science are simple in one or two dimensions but become
Cube Stacking Time Limit: 2000MS Memory Limit: 30000K Total Submissions: 23678 Accepted: 8299 Case Time Limit: 1000MS Description Farmer John and Betsy are playing a game with N (1 <= N <= 30,000)identical cubes labeled 1 through N. They start w
Cube Stacking Description Farmer John and Betsy are playing a game with N (1 <= N <= 30,000)identical cubes labeled 1 through N. They start with N stacks, each containing a single cube. Farmer John asks Betsy to perform P (1<= P <= 100,000) op
Cube Stacking Time Limit: 2000MS Memory Limit: 30000K Total Submissions: 21567 Accepted: 7554 Case Time Limit: 1000MS Description Farmer John and Betsy are playing a game with N (1 <= N <= 30,000)identical cubes labeled 1 through N. They start w
Stacking Boxes Background Some concepts in Mathematics and Computer Science are simple in one or two dimensions but become more complex when extended to arbitrary dimensions. Consider solving differential equations in several dimensions and analyzi
Cube Stacking Time Limit: 2000MS Memory Limit: 30000K Total Submissions: 18834 Accepted: 6535 Case Time Limit: 1000MS Description Farmer John and Betsy are playing a game with N (1 <= N <= 30,000)identical cubes labeled 1 through N. They start w
格式优美的perl代码不但让人赏心悦目,并且能够方便阅读. perltidy的是sourceforge的一个小项目,在我们写完乱七八糟的代码后,他能像变魔术一样把代码整理得漂美丽亮,快来体验一下吧!!! perltidy 主页: http://perltidy.sourceforge.net/perltidy.html 安装方法: 进入解压后的文件夹,然后运行一下命令 perl Makefile.PL make make test make install 用法: 配置一下vim,使得我们在写代
题目链接:http://acm.tju.edu.cn/toj/showp1076.html1076. Frame Stacking Time Limit: 1.0 Seconds Memory Limit: 65536K Total Runs: 145 Accepted Runs: 54 Consider the following 5 picture frames placed on an 9 x 8 array. Now place them on top of one anot
当你的深度学习模型变得很多时,选一个确定的模型也是一个头痛的问题.或者你可以把他们都用起来,就进行模型融合.我主要使用stacking和blend方法.先把代码贴出来,大家可以看一下. import numpy as np import pandas as pd import matplotlib.pyplot as plt from sklearn.metrics import roc_curve SEED = 222 np.random.seed(SEED) from sklearn.mod
