这是该计划:
#include <iostream>
#include <string>
#include <stdlib.h>
using namespace std;
int main(){
string strKingdom = "";
bool conquered_me;//see if was conquered, was going to use this on other program and true = game over.
int gold;
int food;
int citizens;
int soldiers;
cout << endl <<"Name of kingdom: ";
cin >> strKingdom;
cout << endl << "were you conquered (true/false): ";
cin >> conquered_me;
cout << endl << "How many gold do you have?:";
cin>>gold;
cout << endl << "How …我想ndarray在第一个和最后一个位置添加我的元素.对于此示例,我想在第一个位置添加0,在最后一个位置添加1441.但是怎么样？
<type 'numpy.ndarray'>
Out[185]:
array([ 10, 20, 30, 40, 50, 60, 70, 80, 90, 100, 110,
120, 130, 140, 150, 160, 170, 180, 190, 200, 210, 220,
230, 240, 250, 260, 270, 280, 290, 300, 310, 320, 330,
340, 350, 360, 370, 380, 390, 400, 410, 420, 430, 440,
450, 460, 470, 480, 490, 500, 510, 520, 530, 540, 550,
560, 570, 580, 590, 600, 610, 620, 630, 640, 650, 660,
670, 680, 690, 700, 710, 720, 730, …我正在尝试使用rpart在插入符号中的模型选择中最大化灵敏度.为此,我试图复制这里给出的方法(向下滚动到带有用户定义函数FourStat的示例)插入符号的github页面
# create own function so we can use "sensitivity" as our metric to maximise:
Sensitivity.fc <- function (data, lev = levels(data$obs), model = NULL) {
out <- c(twoClassSummary(data, lev = levels(data$obs), model = NULL))
c(out, Sensitivity = out["Sens"])
}
rpart_caret_fit <- train(outcome~pred1+pred2+pred3+pred4,
na.action = na.pass,
method = "rpart",
control=rpart.control(maxdepth = 6),
tuneLength = 20,
# maximise sensitivity
metric = "Sensitivity",
maximize = TRUE,
trControl = trainControl(classProbs = TRUE,
summaryFunction = Sensitivity.fc))
但是当我得到rpart_caret_fit的摘要时
它表明它仍然使用ROC标准来选择最终模型:
rpart_caret_fit
我如何覆盖ROC选择方法？
我对编码很新,我遇到了一些麻烦.在我的代码中,我有:
Console.WriteLine("Flight Computer");
Console.WriteLine("Enter an Airport Code");
我的输出目前是:
飞行计算机
输入机场代码
我希望在这两行之间有一个空格,如下所示:
飞行计算机
输入机场代码
不确定如何解决它,我一直在尝试Console.Write,Console.Read但没有运气.任何建议都会很棒.