Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/17862#discussion_r122607391
--- Diff: R/pkg/R/mllib_classification.R ---
@@ -96,7 +98,8 @@ setClass("NaiveBayesModel", representation(jobj = "jobj"))
#' @note spark.svmLinear since 2.2.0
setMethod("spark.svmLinear", signature(data = "SparkDataFrame", formula =
"formula"),
function(data, formula, regParam = 0.0, maxIter = 100, tol =
1E-6, standardization = TRUE,
- threshold = 0.0, weightCol = NULL, aggregationDepth =
2) {
+ threshold = 0.0, weightCol = NULL, aggregationDepth =
2, solver = "l-bfgs",
--- End diff --
for parameter with limited choice,
use `c("l-bfgs", "owlqn")`
https://github.com/apache/spark/pull/18140/files#diff-2e1e5d49cfda9702645a955f584572eeR129
and match.arg instead
https://github.com/apache/spark/pull/18140/files#diff-2e1e5d49cfda9702645a955f584572eeR132
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