modifed API doc for uncertainty parameters added, next try

entmoot/models/model_params.py

@@ -15,14 +15,14 @@ class UncParams:
     #: weight for penalty/exploration part in objective function
     beta: float = 1.96
     #: the predictions of the GBT model are cut off, if their absolute value exceeds
-    # bound_coeff * variance of the y-values.
+    #: bound_coeff * variance of the y-values.
     bound_coeff: float = 0.5
     #: "exploration": try to find good points far away from known training data,
-    # "exploitation": stay close to explored areas and try to find even better points there.
+    #: "exploitation": stay close to explored areas and try to find even better points there.
     acq_sense: Literal["exploration", "penalty"] = "exploration"
     #: controls two different types of transformations by scaling/shifting.
-    # "normal": shift by lower bound, scale by difference of smalles and largest value
-    # "standard": shift by mean, scale by standard deviation
+    #: "normal": shift by lower bound, scale by difference of smalles and largest value
+    #: "standard": shift by mean, scale by standard deviation
     dist_trafo: Literal["normal", "standard"] = "normal"
     #: compute distance measure using the l_1, the l_2 or the squared l_2 norm.
     dist_metric: Literal["euclidean_squared", "l1", "l2"] = "euclidean_squared"