Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/18128#discussion_r122134992
--- Diff: R/pkg/R/mllib_classification.R ---
@@ -202,6 +202,20 @@ function(object, path, overwrite = FALSE) {
#' @param aggregationDepth The depth for treeAggregate (greater than or
equal to 2). If the dimensions of features
#' or the number of partitions are large, this
param could be adjusted to a larger size.
#' This is an expert parameter. Default value
should be good for most cases.
+#' @param lowerBoundsOnCoefficients The lower bounds on coefficients if
fitting under bound constrained optimization.
+#' The bound matrix must be compatible
with the shape (1, number of features) for binomial
+#' regression, or (number of classes,
number of features) for multinomial regression.
+#' It is a R matrix.
+#' @param upperBoundsOnCoefficients The upper bounds on coefficients if
fitting under bound constrained optimization.
+#' The bound matrix must be compatible
with the shape (1, number of features) for binomial
+#' regression, or (number of classes,
number of features) for multinomial regression.
+#' It is a R matrix.
+#' @param lowerBoundsOnIntercepts The lower bounds on intercepts if
fitting under bound constrained optimization.
+#' The bounds vector size must be equal
with 1 for binomial regression, or the number
--- End diff --
`size must be equal with 1` - should this be `size must be equal to 1`?
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