Note
Click here to download the full example code
Basic Loading
# mkdocs_gallery_thumbnail_path = 'images/example_thumnail.png'
import numpy as np
from krisi import compare, score
from krisi.evaluate.type import PathConst
from krisi.utils.io import load_scorecards
project_name = "Example Load"
for _ in range(5):
score(
y=np.random.rand(1000),
predictions=np.random.rand(1000),
project_name=project_name,
).save()
print(
compare(
load_scorecards(project_name, PathConst.default_eval_output_path),
metric_keys=["mse"],
)
)
Total running time of the script: ( 0 minutes 0.000 seconds)
Download Python source code: scorecard_loading.py