Enable setting labels in the batch comparison plot (#1881)

Summary:
Pull Request resolved: #1881

A few weeks ago when the batch comparison plot was being shown to some collaborators outside the team, there's was some brief confusion around what the axes were since the "Batch XX" labels are not always super descriptive. It'd be helpful to be able to give more meaningful labels for future times that these plots are shared.

Reviewed By: Balandat

Differential Revision: D49746704

fbshipit-source-id: f043ef97fc64824640140f9ac1154e87a467010d

ax/plot/diagnostic.py

@@ -653,6 +653,8 @@ def interact_batch_comparison(
     batch_y: int,
     rel: bool = False,
     status_quo_name: Optional[str] = None,
+    x_label: Optional[str] = None,
+    y_label: Optional[str] = None,
 ) -> AxPlotConfig:
     """Compare repeated arms from two trials; select metric via dropdown.
 
@@ -662,6 +664,8 @@ def interact_batch_comparison(
         batch_y: Index of bach for y-axis.
         rel: Whether to relativize data against status_quo arm.
         status_quo_name: Name of the status_quo arm.
+        x_label: Label for the x-axis.
+        y_label: Label for the y-axis.
     """
     if isinstance(experiment, MultiTypeExperiment):
         observations = convert_mt_observations(observations, experiment)
@@ -670,11 +674,15 @@ def interact_batch_comparison(
     plot_data = _get_batch_comparison_plot_data(
         observations, batch_x, batch_y, rel=rel, status_quo_name=status_quo_name
     )
+    if x_label is None:
+        x_label = f"Batch {batch_x}"
+    if y_label is None:
+        y_label = f"Batch {batch_y}"
     fig = _obs_vs_pred_dropdown_plot(
         data=plot_data,
         rel=rel,
-        xlabel="Batch {}".format(batch_x),
-        ylabel="Batch {}".format(batch_y),
+        xlabel=x_label,
+        ylabel=y_label,
     )
     fig["layout"]["title"] = "Repeated arms across trials"
     return AxPlotConfig(data=fig, plot_type=AxPlotTypes.GENERIC)