EMP-Py
EMP Python Package repository, currently at version 2.0.4.
Functions for estimating EMP (Expected Maximum Profit Measure) in Credit Risk Scoring and Customer Churn Prediction, according to Verbraken et al (2013, 2014).
Installation
pip install EMP-PY
Usage
from EMP.metrics import empCreditScoring
scores = [0.34, 0.44, 0.67, 0.83]
classes = [0, 0, 1, 0]
k = 2
# By default will print and return output (no rounding)
empCreditScoring(scores, classes)
# Will only return output (no rounding)
empCreditScoring(scores, classes, print_output=False)
# Will only print output (no rounding)
empCreditScoring(scores, classes, return_output=False)
# Will print and return output with k decimal points
empCreditScoring(scores, classes, rounding=k)
The functions have been co-authored by Thomas Verbraken, Seppe van den Brucke and Cristián Bravo. Python translation by Emiliano Peñaloza and Alexander Hemming.
1 maintainer
Metadata
1 maintainer
Release files for EMP-PY 2.0.4
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
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| EMP-PY-2.0.4.tar.gz | 18.1 kB | Without provenance | Details for EMP-PY-2.0.4.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| EMP_PY-2.0.4-py3-none-any.whl | Python 3 | none | any | Details for EMP_PY-2.0.4-py3-none-any.whl |
Total release size: 35.8 kB
Release files / EMP-PY-2.0.4.tar.gz
| Download URL | EMP-PY-2.0.4.tar.gz |
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| Size | 18.1 kB |
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Release files / EMP_PY-2.0.4-py3-none-any.whl
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| Size | 17.7 kB |
| Tags | Python 3 |
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