Github user felixcheung commented on a diff in the pull request: https://github.com/apache/spark/pull/14384#discussion_r74527784 --- Diff: R/pkg/R/mllib.R --- @@ -632,3 +642,159 @@ setMethod("predict", signature(object = "AFTSurvivalRegressionModel"), function(object, newData) { return(dataFrame(callJMethod(object@jobj, "transform", newData@sdf))) }) + + +#' Alternating Least Squares (ALS) for Collaborative Filtering +#' +#' \code{spark.als} learns latent factors in collaborative filtering via alternating least +#' squares. Users can call \code{summary} to obtain fitted latent factors, \code{predict} +#' to make predictions on new data, and \code{write.ml}/\code{read.ml} to save/load fitted models. +#' +#' For more details, see +#' \href{http://spark.apache.org/docs/latest/ml-collaborative-filtering.html}{MLlib: +#' Collaborative Filtering}. +#' Additional arguments can be passed to the methods. +#' \describe{ +#' \item{nonnegative}{logical value indicating whether to apply nonnegativity constraints. +#' Default: FALSE} +#' \item{implicitPrefs}{logical value indicating whether to use implicit preference. +#' Default: FALSE} +#' \item{alpha}{alpha parameter in the implicit preference formulation (>= 0). Default: 1.0} +#' \item{seed}{integer seed for random number generation. Default: 0} +#' \item{numUserBlocks}{number of user blocks used to parallelize computation (> 0). +#' Default: 10} +#' \item{numItemBlocks}{number of item blocks used to parallelize computation (> 0). +#' Default: 10} +#' \item{checkpointInterval}{number of checkpoint intervals (>= 1) or disable checkpoint (-1). +#' Default: 10} --- End diff -- Is there a reason we are preferring `...` vs naming these out like `maxIter` in the function definition on L714? if it's well known it's probably better to name them?
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