tikz
我正在尝试对来自的决策树模型进行一些修改这里。我使用的代码与该帖子完全相同,唯一的变化是\documentclass[]{article}
代码:
\documentclass[]{article}
\usepackage{forest}
\usetikzlibrary{fit,positioning}
\tikzset{
font=\Large\sffamily\bfseries,
red arrow/.style={
midway,red,sloped,fill, minimum height=3cm, single arrow, single arrow head extend=.5cm, single arrow head indent=.25cm,xscale=0.3,yscale=0.15,
allow upside down
},
black arrow/.style 2 args={-stealth, shorten >=#1, shorten <=#2},
black arrow/.default={1mm}{1mm},
tree box/.style={draw, rounded corners, inner sep=1em},
node box/.style={white, draw=black, text=black, rectangle, rounded corners},
}
\begin{document}
\begin{forest}
for tree={l sep=3em, s sep=3em, anchor=center, inner sep=0.7em, fill=blue!50, circle, where level=2{no edge}{}}
[
Training Data, node box
[sample and feature bagging, node box, alias=bagging, above=4em
[,red!70,alias=a1[[,alias=a2][]][,red!70,edge label={node[above=1ex,red arrow]{}}[[][]][,red!70,edge label={node[above=1ex,red arrow]{}}[,red!70,edge label={node[below=1ex,red arrow]{}}][,alias=a3]]]]
[,red!70,alias=b1[,red!70,edge label={node[below=1ex,red arrow]{}}[[,alias=b2][]][,red!70,edge label={node[above=1ex,red arrow]{}}]][[][[][,alias=b3]]]]
[~~$\dots$~,scale=2,no edge,fill=none,yshift=-4em]
[,red!70,alias=c1[[,alias=c2][]][,red!70,edge label={node[above=1ex,red arrow]{}}[,red!70,edge label={node[above=1ex,red arrow]{}}[,alias=c3][,red!70,edge label={node[above=1ex,red arrow]{}}]][,alias=c4]]]]
]
\node[tree box, fit=(a1)(a2)(a3)](t1){};
\node[tree box, fit=(b1)(b2)(b3)](t2){};
\node[tree box, fit=(c1)(c2)(c3)(c4)](tn){};
\node[below right=0.5em, inner sep=0pt] at (t1.north west) {Tree 1};
\node[below right=0.5em, inner sep=0pt] at (t2.north west) {Tree 2};
\node[below right=0.5em, inner sep=0pt] at (tn.north west) {Tree $n$};
\path (t1.south west)--(tn.south east) node[midway,below=4em, node box] (mean) {mean in regression or majority vote in classification};
\node[below=3em of mean, node box] (pred) {prediction};
\draw[black arrow={5mm}{4mm}] (bagging) -- (t1.north);
\draw[black arrow] (bagging) -- (t2.north);
\draw[black arrow={5mm}{4mm}] (bagging) -- (tn.north);
\draw[black arrow={5mm}{5mm}] (t1.south) -- (mean);
\draw[black arrow] (t2.south) -- (mean);
\draw[black arrow={5mm}{5mm}] (tn.south) -- (mean);
\draw[black arrow] (mean) -- (pred);
\end{forest}
\end{document}
我一直在尝试做以下几件事:
- 使
tikz
图表适合于\documentclass[]{article}
而不是\documentclass[tikz]{standalone}
- 我一直在尝试改变颜色以匹配下面的树
其中终端节点为绿色和红色,并且所有其他节点都是相同的颜色,但似乎无法弄清楚这一部分(当前,当箭头为红色时,代码中的树是红色的。我想保留箭头,但只是使所有颜色相同 - 除终端节点之外)。
- 我可以通过修改下面的行来更改
circle
为,但它变成了一个正方形。rectangle
for tree={l sep=3em, s sep=3em, anchor=center, inner sep=0.7em, fill=blue!50, rectangle, where level=2{no edge}{}}
编辑:
答案1
嗯,它太宽了,所以你需要把它变窄。例如通过减小
s sep
。节点的颜色和箭头的颜色没有关系,如果节点是红色的,那是因为你
,red!70
为该特定节点添加了颜色。所以你只需要删除很多这样的,red!70
颜色。您需要分别设置宽度和高度:
inner sep=0, minimum width=1em, minimum height=0.5em,
否inner sep
,因此没有填充,然后将minimum width
/设置height
为合适的值。您可能需要修改它们。
我还设置了s sep
节点sample and feature bagging,
,以便将子树间隔得更远一些,并且我添加了两个phantom
节点以在第二个和第三个之间留出更多空间。然后我通过在和\dots
中间放置一个节点来添加后者。t2
tn
我可能会将mean in regression..
节点直接设置在下面t2
,但我将由您来决定。
此屏幕截图中的框架由showframe
包制作,表示文本块的宽度。
\documentclass[]{article}
\usepackage{
forest,
% showframe
}
\usetikzlibrary{fit,positioning}
\tikzset{
font=\large\sffamily\bfseries,
red arrow/.style={
midway,red,sloped,fill, minimum height=3cm, single arrow, single arrow head extend=.5cm, single arrow head indent=.25cm,xscale=0.3,yscale=0.15,
allow upside down
},
black arrow/.style 2 args={-stealth, shorten >=#1, shorten <=#2},
black arrow/.default={1mm}{1mm},
tree box/.style={draw, rounded corners, inner sep=1em},
node box/.style={white, draw=black, text=black, rectangle, rounded corners},
}
\begin{document}
\begin{center}
\begin{forest}
for tree={
l sep=2em,
s sep=2mm,
anchor=center,
inner sep=0,
minimum width=1em,
minimum height=0.5em,
fill=blue!50,
rectangle,
where level=2{no edge}{}}
[
Training Data, node box
[sample and feature bagging, node box, alias=bagging, above=4em,s sep=1.1cm
[,alias=a1[[,alias=a2][]][,edge label={node[above=1ex,red arrow]{}}[[][]]
[,edge label={node[above=1ex,red arrow]{}}[,red!70,edge label={node[below=1ex,red arrow]{}}][,alias=a3]]]]
[,alias=b1[,edge label={node[below=1ex,red arrow]{}}[[,alias=b2][]][,red!70,edge label={node[above=1ex,red arrow]{}}]][[][[][,alias=b3]]]]
[,phantom]
[,phantom]
[,alias=c1[[,alias=c2][]][,edge label={node[above=1ex,red arrow]{}}[,edge label={node[above=1ex,red arrow]{}}[,alias=c3][,red!70,edge label={node[above=1ex,red arrow]{}}]][,alias=c4]]]]
]
\node[tree box, fit=(a1)(a2)(a3)](t1){};
\node[tree box, fit=(b1)(b2)(b3)](t2){};
\node[tree box, fit=(c1)(c2)(c3)(c4)](tn){};
\begin{scope}[every node/.append style={below right=0.5em, inner sep=0pt, font=\normalsize\sffamily\bfseries}]
\node at (t1.north west) {Tree 1};
\node at (t2.north west) {Tree 2};
\node at (tn.north west) {Tree $n$};
\end{scope}
\path (t1.south west)--(tn.south east) node[midway,below=4em, node box] (mean) {mean in regression or majority vote in classification};
\node[below=3em of mean, node box] (pred) {prediction};
\draw[black arrow={5mm}{4mm}] (bagging) -- (t1.north);
\draw[black arrow] (bagging) -- (t2.north);
\draw[black arrow={5mm}{4mm}] (bagging) -- (tn.north);
\draw[black arrow={5mm}{5mm}] (t1.south) -- (mean);
\draw[black arrow] (t2.south) -- (mean);
\draw[black arrow={5mm}{5mm}] (tn.south) -- (mean);
\draw[black arrow] (mean) -- (pred);
\path (t2) -- node {\dots} (tn); % <-- new node
\end{forest}
\end{center}
\end{document}