classification-curves
A library for computing and plotting bootstrapped metrics (ROC curves, Precision-Recall curves, etc.) to evaluate the performance of a classification model.
Example
mg = MetricsGenerator(
predictions_df,
label_column="label",
score_column="score",
weight_column="weight",
score_is_probability=False,
reverse_thresh=False,
num_bootstrap_samples=20,
)
mg.plot_pr(
op_value=0.1,
bootstrapped=True,
bootstrap_alpha=0.05,
)
mg.plot_roc()
1 maintainer
Metadata
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Release files for clscurves 0.4.0
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| File | Interpreter | ABI | Platform | Actions Reset |
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| clscurves-0.4.0-py3-none-any.whl | Python 3 | none | any | Details for clscurves-0.4.0-py3-none-any.whl |
Total release size: 55.8 kB
Release files / clscurves-0.4.0.tar.gz
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Release files / clscurves-0.4.0-py3-none-any.whl
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| Tags | Python 3 |
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