Apply suggestions from code review

Co-authored-by: Max Rakitin <mrakitin@users.noreply.github.com>

src/blop/agent.py

@@ -604,7 +604,7 @@ def pareto_front_mask(self):
         """
         A mask for all data points that is true when the point is on the Pareto front.
         A point is on the Pareto front if it is Pareto dominant
-        A point is Pareto dominant if it is there is no other point that is better at every objective
+        A point is Pareto dominant if there is no other point that is better at every objective
         Points that violate any constraint are excluded.
         """
         y = self.train_targets()[:, self.objectives.type == "fitness"]

src/blop/plotting.py

@@ -6,6 +6,7 @@
 from .bayesian import acquisition
 
 DEFAULT_COLOR_LIST = ["dodgerblue", "tomato", "mediumseagreen", "goldenrod"]
+# Note: the values near 1 are hard to see on a white background. Turbo goes from red to blue and isn't white in the middle.
 DEFAULT_COLORMAP = "turbo"
 DEFAULT_SCATTER_SIZE = 16