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Click here to download the full example code

Minimal Regression

# mkdocs_gallery_thumbnail_path = 'images/example_thumnail.png'

import numpy as np

from krisi import score

score(y=np.random.random(1000), predictions=np.random.random(1000)).print()

Total running time of the script: ( 0 minutes 0.000 seconds)

Download Python source code: evaluate_regression.py

Download Jupyter notebook: evaluate_regression.ipynb

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