#plotTree.totalW是决策树的叶子树,也代表宽度,plotTree.totalD是决策树的深度 plotTree.totalW = float(getNumleafs(inTree)) plotTree.totalD = float(getTreeDepth(inTree)) plotTree.xOff = -0.5/plotTree.totalW; plotTree.yOff = 1.0; plotTree(inTree,(0.5,1.0),'') plt.show() #3-6获取叶...
可视化决策树模型 接下来,我们将使用plot_tree函数来可视化决策树模型。代码如下: fromsklearn.treeimportplot_treeimportmatplotlib.pyplotasplt plt.figure(figsize=(20,10))plot_tree(clf,feature_names=iris.feature_names,class_names=iris.target_names,filled=True)plt.savefig('decision_tree.png')plt.show()...
plotTree.totalW = float(getNumLeafs(inTree)) #宽度=3.0 plotTree.totalD = float(getTreeDepth(inTree)) #深度=2.0 plotTree.xOff = -0.5/plotTree.totalW;plotTree.yOff = 1.0; #得到两个全局变量 x和y (-1/6,1.0) plotTree(inTree,(0.5,1.0),'') #(0.5,1.0)顶层节点的坐标 plt.show() ...
from sklearn import tree from sklearn.datasets import load_iris import matplotlib.pyplot as plt # load data X, y = load_iris(return_X_y=True) # create and train model clf = tree.DecisionTreeClassifier(max_depth=4) # set hyperparameter clf.fit(X, y) # plot tree plt.figure(figsize=(...
defplotTree(myTree, parentPt, nodeTxt): numLeafs= getNumLeafs(myTree)#递归取叶结点数depth = getTreeDepth(myTree)#递归取树的深度(层数)print("叶子数:", numLeafs)print("层数:", depth)print("xOff:", plotTree.xOff)#这一步的结果是一个坐标,(0.5,1.0),子节点的所在位置,为什么要这样计算?
Describe the bug The values in the plot_tree are not represent the actual count, whereas represent the values generated based on class_weights. Is this the expected behaviour? Actually for me, it felt confusing because the sum of thevalu...
treeplot .gitignore CITATION.cff LICENSE MANIFEST.in README.md make_build.sh make_clean.sh make_sphinx_and_commit.sh requirements-dev.txt requirements.txt setup.py README License treeplotis Python package to easily plot the tree derived from models such as decisiontrees, randomforest and xgboos...
Python语言是一种强大而简洁的编程语言。据IEEE Spectrum消息，Python在2020年继续蝉联最受欢迎的编程语言...
用于解决分类和回归问题。 http://scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTree...
在scikit-learn官网中有例子,通过plot_tree画出决策树 运行代码报错:sklearn.tree' has no attribute 'plot_tree' ...