Data Complexity
The Data Complexity Measures in pure Python.
Install
pip install data-complexity-profiler
How it works
One can import the model and use the common .fit() and .transform() functions (sklearn-like interface)
import dcp
from sklearn import datasets
iris = datasets.load_iris()
X = iris.data
y = iris.target
model = dcp.ComplexityProfile()
model.fit(X, y)
model.transform()
Complexity profile takes different inputs from none to specific measures to be obtained.
References
[1] How Complex is your classification problem? A survey on measuring classification complexity, ArXiv
[2] The Extended Complexity Library (ECoL), github repo
1 maintainer
Metadata
1 maintainer
Release files for data-complexity-profiler 0.2.0
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