plot_best_iou_comparison

hybrid_learning.experimentation.ca_exp_eval.plot_best_iou_comparison(metric_mean_map, metric_std_map, concept=None, max_val=None, save_as=None, metric='set_iou', axis=None, set_title=True, **plot_args)

Provide a plot of metric values against layers for one concept and all settings in best_emb_ious. Plotted points are the best embedding performances, the plotted standard deviation is that of the runs. Optionally save the figure.

Parameters

• metric_mean_map (Dict[str, DataFrame]) –

• metric_std_map (Dict[str, DataFrame]) –

• concept (Optional[str]) –

• max_val (Optional[float]) –

• save_as (Optional[str]) –

• metric (str) –

• axis (Optional[Axes]) –

• set_title (bool) –