fig, axes = plt.subplots(2, 2, figsize=(14, 10)) colors_a = axes.bar(list(asmd_means.keys()), list(asmd_means.values()), color=colors_a) axes.axhline(0.1, ls="--", color="red", label="0.10 imbalance threshold") axes.set_title("Mean ASMD across covariates") axes.set_ylabel("Mean ASMD"); axes.legend()…
@step(enable_cache=True) def load_data() -> Annotated: data = load_breast_cancer() return DatasetBundle( data.data, data.target,…
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