data-complexity
The Data Complexity Measures in Python
Install
$ pip install data-complexity
How it works
Maximum Fisher's Discriminant Ratio (F1)
from dcm import dcm
from sklearn import datasets
iris = datasets.load_iris()
X = iris.data
y = iris.target
index, F1 = dcm.F1(X, y)
Fraction of Borderline Points (N1)
from dcm import dcm
from sklearn import datasets
bc = datasets.load_breast_cancer(as_frame=True)
X = bc.data.values
y = bc.target.values
N1 = dcm.N1(X, y)
Entropy of Class Proportions (C1) and Imbalance Ratio (C2)
from dcm import dcm
from sklearn import datasets
bc = datasets.load_breast_cancer(as_frame=True)
X = bc.data.values
y = bc.target.values
C1, C2 = dcm.C12(X, y)
Other Measures
Coming soon...
References
[1] How Complex is your classification problem? A survey on measuring classification complexity, https://arxiv.org/abs/1808.03591
[2] The Extended Complexity Library (ECoL), https://github.com/lpfgarcia/ECoL
1 maintainer
Metadata
1 maintainer
Release files for data-complexity 0.1.3
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