Note
Click here to download the full example code
Basic ScoreCard
# mkdocs_gallery_thumbnail_path = 'images/example_thumnail.png'
import numpy as np
from krisi.evaluate import SampleTypes, ScoreCard
target, predictions = np.random.rand(1000), np.random.rand(1000)
sc = ScoreCard(
target,
predictions,
model_name="<your_model_name>",
dataset_name="<your_dataset_name>",
sample_type=SampleTypes.insample,
)
""" A predefined metrics """
sc.evaluate(defaults=True)
""" Adding a new metric """
sc["own_metric"] = (target - predictions).mean()
""" Print scorecard summary """
sc.print("extended")
Total running time of the script: ( 0 minutes 0.000 seconds)
Download Python source code: scorecard_basic.py