[MNT] 2.4.0 deprecations and change actions (#404)

Carries out deprecations and change actions scheduled for 2.4.0.

* in `CyclicBoosting`, final removal of `bounds` parameter
* bump an action erroneously scheduled for 2.4.0 to 2.5.0 (in GLM)

skpro/regression/cyclic_boosting.py

@@ -139,7 +139,6 @@ def __init__(
         feature_properties=None,
         alpha=0.2,
         mode="multiplicative",
-        bound="deprecated",
         lower=None,
         upper=None,
         maximal_iterations=10,
@@ -150,7 +149,6 @@ def __init__(
         self.feature_properties = feature_properties
         self.alpha = alpha
         self.mode = mode
-        self.bound = bound
         self.lower = lower
         self.upper = upper
         self.maximal_iterations = maximal_iterations
@@ -164,36 +162,6 @@ def __init__(
         self.quantile_est = list()
         self.qpd = None
 
-        # todo 2.4.0: remove bound parameter and this deprecation warning
-        if bound == "deprecated":
-            warnings.warn(
-                "In CyclicBoosting, the 'bound' parameter is deprecated, "
-                "and will be removed in skpro version 2.4.0. "
-                "To retain the current behavior, and silence this warning, "
-                "do not set the 'bound' parameter "
-                "and set 'lower' and 'upper' parameters instead, "
-                "as follows: for unbounded mode, previously bound='U', "
-                "set 'lower' and 'upper' to None; "
-                "for semi-bounded mode, previously bound='S', "
-                "set 'lower' to lower bound and 'upper' to None; "
-                "for bounded mode, previously bound='B', "
-                "set 'lower' to lower bound and 'upper' to upper bound.",
-                DeprecationWarning,
-                stacklevel=2,
-            )
-
-        # todo 2.4.0: remove this block
-        # translate bound to lower and upper
-        if lower is None and bound in ["S", "B"]:
-            self._lower = 0.0
-        else:
-            self._lower = None
-        if upper is None and bound == "B":
-            self._upper = 1.0
-        else:
-            self._upper = upper
-        # end block
-
         # check parameters
         if (not isinstance(feature_groups, list)) and feature_groups is not None:
             raise ValueError("feature_groups needs to be list")
@@ -342,7 +310,6 @@ def _predict_proba(self, X):
             yhat = est.predict(X.copy())
             self.quantile_values.append(yhat)
 
-        # todo 2.4.0: replace self._lower and self._upper with self.lower and self.upper
         # Johnson Quantile-Parameterized Distributions
         params = {
             "alpha": self.alpha,

skpro/regression/linear/_glm.py

@@ -238,7 +238,7 @@ def _str_to_sm_family(self, family, link):
 
         return sm_fmly[family]()
 
-    # TODO (release 2.4.0)
+    # TODO (release 2.5.0)
     # replace the existing definition of `__init__` with
     # the below definition for `__init__`.
     # def __init__(