dtreeplot

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

Metadata

Release files for dtreeplot 0.1.2

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Built distribution (wheel)

Table of built distributions (wheels) for dtreeplot 0.1.2
File	Interpreter	ABI	Platform	Reset
dtreeplot-0.1.2-py3-none-any.whl 98.7 kB May 18, 2022	Python 3	none	any	Details

Release files / dtreeplot-0.1.2-py3-none-any.whl

Download URL	dtreeplot-0.1.2-py3-none-any.whl
Size	98.7 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`ae29a638c54eb0b6bf15c4fdd09f4d0747ae7148297b9efbc50b81045936d9de`
BLAKE2b-256 checksum How to use checksums	`d1660773a4672c2dcb854234ff737164618e3387d87f6ec4bf9f9bae795fe949`
Upload date	May 18, 2022
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/3.4.1 importlib_metadata/4.5.0 pkginfo/1.7.0 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.7.3`