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import skore project = skore.create("my_project", overwrite = True) from sklearn.datasets import make_regression X, y = make_regression(n_samples=500, n_features=7, noise=1, random_state=1) from sklearn.ensemble import HistGradientBoostingRegressor reg = HistGradientBoostingRegressor() cv_reporter_reg = skore.CrossValidationReporter(reg, X, y, cv=10) project.put("cv_regression", cv_reporter_reg)
if the value if positive, the name shouldn't start with neg.
neg
Neg.
System: python: 3.12.8 | packaged by Anaconda, Inc. | (main, Dec 11 2024, 16:31:09) [GCC 11.2.0] executable: /home/marie/anaconda3/envs/skore_test/bin/python machine: Linux-6.8.0-49-generic-x86_64-with-glibc2.35 Python dependencies: skore: 0.0.0+unknown pip: 24.2 setuptools: 75.1.0 diskcache: 5.6.3 fastapi: 0.115.6 numpy: 2.2.0 plotly<6,>=5: None pyarrow: 18.1.0 rich: 13.9.4 scikit-learn<1.7: None skops: 0.11.0 uvicorn: 0.32.1
The text was updated successfully, but these errors were encountered:
It should be fixed in #1009 as well.
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Describe the bug
Steps/Code to Reproduce
Expected Behavior
if the value if positive, the name shouldn't start with
neg
.Actual Behavior
Neg.
Environment
The text was updated successfully, but these errors were encountered: