api changes with the documentation

h2oai · Sep 19, 2023 · 2722f60 · 2722f60
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commit 2722f60
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diff --git a/h2o-py/h2o/estimators/adaboost.py b/h2o-py/h2o/estimators/adaboost.py
@@ -62,7 +62,7 @@ def __init__(self,
         :param n_estimators: Number of AdaBoost weak learners.
                Defaults to ``50``.
         :type n_estimators: int
-        :param weak_learner: Weak learner
+        :param weak_learner: Choose a weak learner type. Defaults to DRF.
                Defaults to ``"auto"``.
         :type weak_learner: Literal["auto", "drf", "glm"]
         :param learn_rate: Learning rate (from 0.0 to 1.0)
@@ -178,7 +178,7 @@ def n_estimators(self, n_estimators):
     @property
     def weak_learner(self):
         """
-        Weak learner
+        Choose a weak learner type. Defaults to DRF.
 
         Type: ``Literal["auto", "drf", "glm"]``, defaults to ``"auto"``.
         """

diff --git a/h2o-r/h2o-package/R/adaboost.R b/h2o-r/h2o-package/R/adaboost.R
@@ -25,7 +25,7 @@
 #'        you set weight = 0 for a row, the returned prediction frame at that row is zero and this is incorrect. To get
 #'        an accurate prediction, remove all rows with weight == 0.
 #' @param n_estimators Number of AdaBoost weak learners. Defaults to 50.
-#' @param weak_learner Weak learner Must be one of: "AUTO", "DRF", "GLM". Defaults to AUTO.
+#' @param weak_learner Choose a weak learner type. Defaults to DRF. Must be one of: "AUTO", "DRF", "GLM". Defaults to AUTO.
 #' @param learn_rate Learning rate (from 0.0 to 1.0) Defaults to 0.5.
 #' @param seed Seed for random numbers (affects certain parts of the algo that are stochastic and those might or might not be enabled by default).
 #'        Defaults to -1 (time-based random number).