How can I get Gini Coefficient in sklearn

user_7795423 0
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I would like in sklearn package, Find the gini coefficients for each feature on a class of paths such as in iris data. like Iris-virginica Petal length gini：0.4 ，Petal width gini：0.4.

gini scikit-learn python
1 Answers

You can calculate the gini coefficient with Python+numpy like this:

from typing import List
from itertools import combinations

import numpy as np

def gini(x: List[float]) -> float:
    x = np.array(x, dtype=np.float32)
    n = len(x)
    diffs = sum(abs(i - j) for i, j in combinations(x, r=2))
    return diffs / (2 * n**2 * x.mean())
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