piBreakDown
python version of iBreakDown
Installation
Clone the repository, then open console in piBreakDown/piBreakDown directory and run
pip install .
Example
Import necessary packages
from piBreakDown.Attributions import Attributions
from piBreakDown.PlotUtils import PlotUtils
from sklearn.ensemble import RandomForestClassifier
import pandas as pd
from sklearn.datasets import load_iris
import some dataset
iris = load_iris()
data = pd.DataFrame(iris['data'])
target = iris['target']
You need to set the column names to strings
data.columns = iris.feature_names
Fit your data
rf = RandomForestClassifier()
rf.fit(data, target)
Use local_attributions
attr = Attributions(rf, data, 'Class')
results = attr.local_attributions(data.loc[0,:], # observation to explain
classes_names = [0,1,2]) # available classes_names
Draw the plot
PlotUtils.plot_contribution(results,
plot_class = 0) # class to plot
The results are displayed below
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent