plotting.plot_pod_curve

plot_pod_curve(
    X_eval,
    pod_curve,
    ci_lower=None,
    ci_upper=None,
    target_pod=0.9,
    poi_name='Parameter of Interest',
    ax=None,
)

Result Plot 2: Probability of Detection (The Reliability).

Visualizes the PoD curve with Bootstrap Confidence Intervals. Equivalent to Figure 11 in the Generalized Method paper.

Parameters

Name	Type	Description	Default
X_eval	np.ndarray	The grid of points used for the curves.	required
pod_curve	np.ndarray	The main PoD estimate (0.0 to 1.0).	required
ci_lower	Optional[np.ndarray]	(Optional) The lower 95% confidence bound.	None
ci_upper	Optional[np.ndarray]	(Optional) The upper 95% confidence bound.	None
target_pod	float	The target reliability level (usually 0.90) to mark on the plot.	0.9
ax	Optional[plt.Axes]	(Optional) Matplotlib axes to plot on.	None

Examples

# Plot the reliability curve with confidence bounds
ax = plot_pod_curve(
    X_eval, pod_curve,
    ci_lower=lower_bound,
    ci_upper=upper_bound,
    target_pod=0.90
)
plt.show()