Metadata-Version: 2.1
Name: dtreeplot
Version: 0.1.2
Summary: A Decision Tree Visualization Packages.
Home-page: 
Author: suyin
Author-email: suyin1203@gmail.com
Keywords: decision tree Visualize
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Description-Content-Type: text/markdown
License-File: LICENSE.txt

A Decision Tree Visualization Packages. 
```  

# import dtreeplot package model_plot function  


from dtreeplot import model_plot  

from sklearn import datasets  
from sklearn.tree import DecisionTreeClassifier   

X, y = datasets.make_classification(n_samples=30000, n_features=10, weights=[0.96, 0.04])  
features = [f'Var{i+1}' for i in range(X.shape[1])]  


clf = DecisionTreeClassifier(criterion='gini',  
                             max_depth=3,   
                             min_samples_split=30,   
                             min_samples_leaf=10,   
                             random_state=1234)  
model = clf.fit(X, y)  

# visualize tree model  
model_plot(model, features, labels=y, height=530)  
```


```
pip3 install dtreeplot --upgrade
```

    
