@@ -325,9 +325,20 @@ MMI.metadata_model(
325325
326326# # DOCUMENT STRINGS
327327
328+ const DOC_CART = " [CART algorithm](https://en.wikipedia.org/wiki/Decision_tree_learning)" *
329+ " , originally published in Breiman, Leo; Friedman, J. H.; Olshen, R. A.; " *
330+ " Stone, C. J. (1984): \" Classification and regression trees\" . *Monterey, " *
331+ " CA: Wadsworth & Brooks/Cole Advanced Books & Software.*"
332+
333+ const DOC_RANDOM_FOREST = " [Random Forest algorithm]" *
334+ " (https://en.wikipedia.org/wiki/Random_forest), originally published in " *
335+ " Breiman, L. (2001): \" Random Forests.\" , *Machine Learning*, vol. 45, pp. 5–32"
336+
328337"""
329338$(MMI. doc_header (DecisionTreeClassifier))
330339
340+ `DecisionTreeClassifier` implements the $DOC_CART .
341+
331342# Training data
332343
333344In MLJ or MLJBase, bind an instance `model` to data with
@@ -461,6 +472,9 @@ DecisionTreeClassifier
461472"""
462473$(MMI. doc_header (RandomForestClassifier))
463474
475+ `RandomForestClassifier` implements the standard $DOC_RANDOM_FOREST .
476+
477+
464478# Training data
465479
466480In MLJ or MLJBase, bind an instance `model` to data with
@@ -548,6 +562,7 @@ RandomForestClassifier
548562"""
549563$(MMI. doc_header (AdaBoostStumpClassifier))
550564
565+
551566# Training data
552567
553568In MLJ or MLJBase, bind an instance `model` to data with
@@ -622,6 +637,9 @@ AdaBoostStumpClassifier
622637"""
623638$(MMI. doc_header (DecisionTreeRegressor))
624639
640+ `DecisionTreeRegressor` implements the $DOC_CART .
641+
642+
625643# Training data
626644
627645In MLJ or MLJBase, bind an instance `model` to data with
@@ -702,6 +720,9 @@ DecisionTreeRegressor
702720"""
703721$(MMI. doc_header (RandomForestRegressor))
704722
723+ `DecisionTreeRegressor` implements the standard $DOC_RANDOM_FOREST
724+
725+
705726# Training data
706727
707728In MLJ or MLJBase, bind an instance `model` to data with
0 commit comments