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Fix a couple of documentation typos. #317

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Merged
merged 3 commits into from
May 22, 2020
Merged

Fix a couple of documentation typos. #317

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7e0ec69
Typo correction.
rorynolan May 22, 2020
beb1c5e
Correct typo.
rorynolan May 22, 2020
65c1fae
Tiny typo.
rorynolan May 22, 2020
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2 changes: 1 addition & 1 deletion R/decision_tree.R
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Expand Up @@ -102,7 +102,7 @@ print.decision_tree <- function(x, ...) {

#' @export
#' @inheritParams update.boost_tree
#' @param object A random forest model specification.
#' @param object A decision tree model specification.
#' @examples
#' model <- decision_tree(cost_complexity = 10, min_n = 3)
#' model
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4 changes: 2 additions & 2 deletions R/mlp.R
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Expand Up @@ -37,7 +37,7 @@
#' @param dropout A number between 0 (inclusive) and 1 denoting the proportion
#' of model parameters randomly set to zero during model training.
#' @param epochs An integer for the number of training iterations.
#' @param activation A single character strong denoting the type of relationship
#' @param activation A single character string denoting the type of relationship
#' between the original predictors and the hidden unit layer. The activation
#' function between the hidden and output layers is automatically set to either
#' "linear" or "softmax" depending on the type of outcome. Possible values are:
Expand Down Expand Up @@ -105,7 +105,7 @@ print.mlp <- function(x, ...) {
#'
#' @export
#' @inheritParams update.boost_tree
#' @param object A random forest model specification.
#' @param object A multilayer perceptron model specification.
#' @examples
#' model <- mlp(hidden_units = 10, dropout = 0.30)
#' model
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