Github user felixcheung commented on a diff in the pull request: https://github.com/apache/spark/pull/18128#discussion_r122135013 --- 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 +#' of classes for multinomial regression. +#' @param upperBoundsOnIntercepts The upper bounds on intercepts if fitting under bound constrained optimization. +#' The bound vector size must be equal with 1 for binomial regression, or the number --- End diff -- ditto here `size must be equal with 1`
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