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mv ml_stability/{stability_plot_scripts->plots}
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ml_stability/stability_plot_scripts/precision_recall_as_func_of_calc_count.py ml_stability/plots/precision_recall_as_func_of_calc_count.py

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@@ -65,13 +65,13 @@
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# full_std = (epistemic_var + aleatoric_var) ** 0.5
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# crit = "std"
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# criterion = "std"
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# test = mean + full_std
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# crit = "neg"
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# criterion = "neg"
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# test = mean - full_std
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crit = "ene"
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criterion = "energy"
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bins = 200
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# xlim = (-0.2, 0.2)
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[recall] = ax.plot((0, 0), (0, 0), "black", linestyle=":")
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ax.legend([prec, recall], ["Precision", "Recall"], frameon=False, loc="upper right")
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img_path = f"{PKG_DIR}/plots/{today}-vary-{e_type=}-{crit=}-{rare=}.pdf"
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img_path = f"{PKG_DIR}/plots/{today}-vary-{e_type=}-{criterion=}-{rare=}.pdf"
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# plt.savefig(img_path)

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