view
View regression tree
Syntax
查看（树）
查看（树，名称，值）
Input Arguments
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Name-Value Arguments
将可选的参数对Name1=Value1,...,NameN=ValueN, whereNameis the argument name and价值是相应的值。名称值参数必须在其他参数之后出现，但是对的顺序并不重要。
Before R2021a, use commas to separate each name and value, and encloseNamein quotes.
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Display of Default: |
例子
查看受过训练的回归树
查看训练有素的回归树的文本和图形显示。
加载汽车舞data set. Consider a model that explains a car's fuel economy (MPG) using its weight (Weight）和圆柱数（Cylinders).
load汽车舞X = [Weight Cylinders]; Y = MPG;
Train a regression tree using all measurements.
MDL= fitrtree(X,Y);
查看训练有素的回归树的文本显示。
view(Mdl)
回归1的决策树如果x1 <3085.5，则节点2 elseif x1> = 3085.5然后节点3 else 3 else 23.7181 2如果x1 <2371然后node 4 elseif x1> = 2371然后node 5 else 5 else 28.7931 3 if x2 <7 in If x2 <7 if nif node node node 6 elsif x2 elsif x2 elseif x2>=7 then node 7 else 15.5417 4 if x1<2162 then node 8 elseif x1>=2162 then node 9 else 32.0741 5 if x2<5 then node 10 elseif x2>=5 then node 11 else 25.9355 6 fit = 19.2778 7 if然后x1 <4381然后节点12 elseif x1> = 4381然后节点13 else 14.2963 8如果x1 <1951然后node 14 elseif x1> = 1951然后node 15 else 15 else 33.3056 9 fit = 29.6111 10 If x1 <2827.5 then then then n then n then node node x1> x1> = x1> = = = = = = = = = = = = = = 29.6111 102827.5然后节点17其他27.2143 11如果x1 <3013.5然后节点18 elseif x1> = 3013.5然后节点19其他23.25 12如果x1 <3533.5然后node node node 20 elsif x1> = 3533.5然后节点21 else 14.8696 14.8696 13 fit = 11 14 fit = 29.375 fit = 29.37515如果x1 <2142.5然后节点22 elseif x1> = 2142.5然后节点23 else 34.4286 16如果x1 <2385，则节点24 elseif x1> = 2385然后节点25 else 27.6389 17 fit = 24.66667= 16.6 21如果x1 <4378，则节点26 elseif x1> = 4378然后节点27其他14.3889 22如果x1 <2080然后节点28 elseif x1> = 2080然后节点29 else 29 else 34.8333 23 fit = 32 24 fit = 32 24 fit = 24.5 25如果x1 <2412.5然后node node node node node 30 eseif x1> = 2412.5，则节点31其他28.0313 26如果x1 <4365然后节点32 elseif x1> = 4365然后节点33 else 33 else 14.2647 27 fit = 16.5 28 fit = 34.125 29 fit = 34.125 29 fit = 36.25 30 fit = 34 fit = 34 31 fit = 34 31 if x1 <2447然后node node 34 elseif x1> = x1> = = 34 seles x1> = = = 34 seles x1> =2447然后节点35其他27.6333 32如果如果x1 <4122.5，则节点36 elseif x1> = 4122.5然后节点37其他14.5313 33 fit = 10 34 fit = 10 34 fit = 24 35如果x1 <2573.5然后node 38 Elsif x1> = 2573.5然后Node x1> = 2573.5，然后node 39 els Node 39其他27.88992936如果x1 <3860，则节点40 elseif x1> = 3860，然后节点41 else 14.15 37 fit = 15.1667 38 fit = 27.125 39如果x1 <2580，则节点42 elsif x1> = 2580然后node node 43 else node 43 else 28.2 40 fit = 14.5 41 fit = 14.5 41 fit = 14.5 41 fit = 14.5 41 fit = 14.5 41= 13.625 42 fit = 31 43 fit = 27.8889
View graphical display of the trained regression tree.
view(Mdl,“模式”,'graph'）；
View Tree from Bag of Trees
加载汽车舞data set. Consider a model that explains a car's fuel economy (MPG) using its weight (Weight）和圆柱数（Cylinders).
load汽车舞X = [Weight Cylinders]; Y = MPG;
Grow a bag of 100 regression trees using all measurements.
rng(1)％可再现性mdl = treebagger（100，x，y）;
或者，您可以使用fitrensemble种植一袋回归树。
MDLis aTreeBaggermodel object.MDL.Treesstores the bag of 100 trained regression trees in a 100-by-1 cell array. That is, each cell inMDL.Treescontains aCompactregressionTreemodel object.
View a graph of the 10th regression tree in the bag.
tree10 = mdl.trees {10};查看（树10，“模式”,'graph'）；
默认，the software grows deep trees for bags of trees.
View Tree from Boosted Ensemble
加载汽车舞data set. Consider a model that explains a car's fuel economy (MPG) using its weight (Weight）和圆柱数（Cylinders).
load汽车舞X = [Weight Cylinders]; Y = MPG;
Boost an ensemble of 100 regression trees using all measurements.
mdl = fitrensemble（x，y，'Method','LSBoost'）；
MDLis a回归Ensemblemodel object.MDL。训练将100个训练有素的回归树的合奏存储在100 x-1的单元阵列中。也就是说，每个单元格MDL。训练contains aCompactregressionTreemodel object.
查看合奏中第10个回归树的图。
tree10 = mdl。训练{10};查看（树10，“模式”,'graph'）；
默认，fitrensemble生长浅树，以增强树的合奏。那是，“学习者”istemplateTree (MaxNumSplits, 10).
提示
查看树tfrom an ensemble of trees, enter one of these lines of code
view(Ens.Trained{t}）view(Bag.Trees{t}）
Ens是一个完整的合奏fitrensemble或由袖珍的.包is a full bag of trees returned byTreeBagger或者a compact bag of trees returned by袖珍的.
To save树in the Command Window, get a figure handle by using thefindall和setdiff功能，然后保存树使用该功能另存为.
之前= findall（groot，'Type','数字'）；% Find all figuresview(Mdl,“模式”,'graph'）之后= findall（groot，'Type','数字'）；h = setDiff（在之前，之前）;% Get the figure handle of the tree viewer另存为(h,'a.png')
Extended Capabilities
