Merge pull request #3674 from TirelessClock/documentation

DecisionTree documentation - NoRecursion flag
mlpack · Apr 1, 2024 · e3cd78a · e3cd78a
2 parents 2a260a4 + f412dcc
commit e3cd78a
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Showing 2 changed files with 6 additions and 6 deletions.
diff --git a/doc/user/methods/decision_tree.md b/doc/user/methods/decision_tree.md
@@ -325,7 +325,7 @@ DecisionTree<FitnessFunction,
    data dimensions
  * `DimensionSelectionType`: the strategy used for proposing dimensions to
    attempt to split on
- * `NoRecursion`: a boolean indicating whether or not to build a tree or a stump
+ * `NoRecursion`: a boolean indicating whether to build a tree or a stump
    (one level tree)
 
 Below, details are given for the requirements of each of these template types.
@@ -581,6 +581,6 @@ class CustomDimensionSelect
 
  * A `bool` value that indicates whether a decision tree should be
    constructed recursively.
- * If `true` _(default)_, a full decision tree will be built.
- * If `false`, only the root node will be split (producing a decision
+ * If `true`, only the root node will be split (producing a decision
    stump).
+ * If `false` _(default)_, a full decision tree will be built.
diff --git a/doc/user/methods/decision_tree_regressor.md b/doc/user/methods/decision_tree_regressor.md
@@ -314,7 +314,7 @@ DecisionTreeRegressor<FitnessFunction,
    data dimensions
  * `DimensionSelectionType`: the strategy used for proposing dimensions to
    attempt to split on
- * `NoRecursion`: a boolean indicating whether or not to build a tree or a stump
+ * `NoRecursion`: a boolean indicating whether to build a tree or a stump
    (one level tree)
 
 Below, details are given for the requirements of each of these template types.
@@ -583,6 +583,6 @@ class CustomDimensionSelect
 
  * A `bool` value that indicates whether a decision tree should be
    constructed recursively.
- * If `true` _(default)_, a full decision tree will be built.
- * If `false`, only the root node will be split (producing a decision
+ * If `true`, only the root node will be split (producing a decision
    stump).
+ * If `false` _(default)_, a full decision tree will be built.