document that main arguments are captured as quosures (#918)

Author: simonpcouch

R/auto_ml.R

@@ -17,6 +17,7 @@
 #' @param engine A single character string specifying what computational engine
 #'  to use for fitting.
 #'
+#' @templateVar modeltype auto_ml
 #' @template spec-details
 #'
 #' @template spec-references

R/bag_mars.R

@@ -14,6 +14,7 @@
 #'
 #' @inheritParams mars
 #'
+#' @templateVar modeltype bag_mars
 #' @template spec-details
 #'
 #' @template spec-references

R/bag_mlp.R

@@ -12,6 +12,7 @@
 #'
 #' @inheritParams mlp
 #'
+#' @templateVar modeltype bag_mlp
 #' @template spec-details
 #'
 #' @template spec-references

R/bag_tree.R

@@ -16,6 +16,7 @@
 #' factor is the minority class. If this is not the case, values between zero
 #' and one can be used to bias to the second level of the factor.
 #'
+#' @templateVar modeltype bag_tree
 #' @template spec-details
 #'
 #' @template spec-references

R/bart.R

@@ -35,6 +35,7 @@
 #' terminal node for different values of these parameters.
 #'
 #'
+#' @templateVar modeltype bart
 #' @template spec-details
 #'
 #' @template spec-references

R/boost_tree.R

@@ -39,6 +39,7 @@
 #' @param stop_iter The number of iterations without improvement before
 #'   stopping (specific engines only).
 #'
+#' @templateVar modeltype boost_tree
 #' @template spec-details
 #'
 #' @template spec-references

R/c5_rules.R

@@ -30,6 +30,8 @@
 #'
 #' @references Quinlan R (1993). _C4.5: Programs for Machine Learning_. Morgan
 #' Kaufmann Publishers.
+#'
+#' @templateVar modeltype C5_rules
 #' @template spec-details
 #'
 #' @template spec-references

R/cubist_rules.R

@@ -50,6 +50,7 @@
 #' where `t` is the training set prediction and `w` is a weight that is inverse
 #'  to the distance to the neighbor.
 #'
+#' @templateVar modeltype cubist_rules
 #' @template spec-details
 #'
 #' @template spec-references

R/decision_tree.R

@@ -19,6 +19,7 @@
 #' @param min_n An integer for the minimum number of data points
 #'  in a node that are required for the node to be split further.
 #'
+#' @templateVar modeltype decision_tree
 #' @template spec-details
 #'
 #' @template spec-references

R/discrim_flexible.R

@@ -18,6 +18,7 @@
 #' @param prod_degree The highest possible interaction degree.
 #' @param prune_method The pruning method.
 #'
+#' @templateVar modeltype discrim_flexible
 #' @template spec-details
 #'
 #' @template spec-references