skpro.utils.plotting.plot_crossplot_interval#

skpro.utils.plotting.plot_crossplot_interval(y_true, y_pred, coverage=None, ax=None)[source]#

Probabilistic cross-plot for regression, truth vs prediction interval.

Plots:

  • x-axis: ground truth value

  • y-axis: median predictive value, with error bars being the prediction interval at symmetric coverage coverage

Parameters:
y_truearray-like, [n_samples, n_targets]

Ground truth values

y_predskpro distribution, or predict_interval return, [n_samples, n_targets]

symmetric prediction intervals are obtained via the coverage parameterfrom y_pred Predicted values

coveragefloat, optional, default=0.9

Coverage of the prediction interval Used only if y_pred a distribution

axmatplotlib axes, optional

Axes to plot on, if None, a new figure is created and returned

Returns:
axmatplotlib axes

Axes containing the plot If ax was None, a new figure is created and returned If ax was not None, the same ax is returned with plot added