Github user felixcheung commented on a diff in the pull request: https://github.com/apache/spark/pull/18128#discussion_r119995950 --- Diff: R/pkg/R/mllib_classification.R --- @@ -239,21 +253,64 @@ function(object, path, overwrite = FALSE) { setMethod("spark.logit", signature(data = "SparkDataFrame", formula = "formula"), function(data, formula, regParam = 0.0, elasticNetParam = 0.0, maxIter = 100, tol = 1E-6, family = "auto", standardization = TRUE, - thresholds = 0.5, weightCol = NULL, aggregationDepth = 2) { + thresholds = 0.5, weightCol = NULL, aggregationDepth = 2, + lowerBoundsOnCoefficients = NULL, upperBoundsOnCoefficients = NULL, + lowerBoundsOnIntercepts = NULL, upperBoundsOnIntercepts = NULL) { formula <- paste(deparse(formula), collapse = "") + row <- 0 + col <- 0 if (!is.null(weightCol) && weightCol == "") { weightCol <- NULL } else if (!is.null(weightCol)) { weightCol <- as.character(weightCol) } + if (!is.null(lowerBoundsOnIntercepts)) { + lowerBoundsOnIntercepts <- as.array(lowerBoundsOnIntercepts) + } + + if (!is.null(upperBoundsOnIntercepts)) { + upperBoundsOnIntercepts <- as.array(upperBoundsOnIntercepts) + } + + if (!is.null(lowerBoundsOnCoefficients)) { + if (class(lowerBoundsOnCoefficients) != "matrix") { + stop("lowerBoundsOnCoefficients must be a matrix.") + } + row <- nrow(lowerBoundsOnCoefficients) + col <- ncol(lowerBoundsOnCoefficients) + lowerBoundsOnCoefficients <- as.array(as.vector(lowerBoundsOnCoefficients)) + } + + if (!is.null(upperBoundsOnCoefficients)) { + if (class(upperBoundsOnCoefficients) != "matrix") { + stop("upperBoundsOnCoefficients must be a matrix.") + } + + if (!is.null(lowerBoundsOnCoefficients) & (row != nrow(upperBoundsOnCoefficients) + | col != ncol(upperBoundsOnCoefficients))) { + stop(paste("dimension of upperBoundsOnCoefficients ", + "is not the same as lowerBoundsOnCoefficients", sep = "")) + } + + if (is.null(lowerBoundsOnCoefficients)) { + row <- nrow(upperBoundsOnCoefficients) + col <- ncol(upperBoundsOnCoefficients) + } --- End diff -- ok thanks, L290-291
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