Fixes spelling mistake

man-roxygen/roxlate-ml-algo.R

@@ -24,5 +24,5 @@
 #'     wrapper of a \code{ml_pipeline_model}.
 #' }
 #'
-#' @details When \code{x} is a \code{tbl_spark} and \code{formula} (alternatively, \code{response} and \code{features}) is specified, the function returns a \code{ml_model} object wrapping a \code{ml_pipeline_model} which contains data pre-processing transformers, the ML predictor, and, for classification models, a post-processing transformer that converts predictions into class labels. For classification, an optional argument \code{predicted_label_col} (defaults to \code{"predicted_label"}) can be used to specify the name of the predicted label column. In addition to the fitted \code{ml_pipeline_model}, \code{ml_model} objects also contain a \code{ml_pipeline} object where the ML predictor stage is an estimator ready to be fit against data. This is utilized by \code{\link{ml_save}} with \code{type = "pipeline"} to faciliate model refresh workflows.
+#' @details When \code{x} is a \code{tbl_spark} and \code{formula} (alternatively, \code{response} and \code{features}) is specified, the function returns a \code{ml_model} object wrapping a \code{ml_pipeline_model} which contains data pre-processing transformers, the ML predictor, and, for classification models, a post-processing transformer that converts predictions into class labels. For classification, an optional argument \code{predicted_label_col} (defaults to \code{"predicted_label"}) can be used to specify the name of the predicted label column. In addition to the fitted \code{ml_pipeline_model}, \code{ml_model} objects also contain a \code{ml_pipeline} object where the ML predictor stage is an estimator ready to be fit against data. This is utilized by \code{\link{ml_save}} with \code{type = "pipeline"} to facilitate model refresh workflows.