Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/18128#discussion_r119911006
--- Diff: R/pkg/R/mllib_classification.R ---
@@ -239,21 +253,57 @@ 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 = "")
+ lrow <- 0
+ lcol <- 0
+ urow <- 0
+ ucol <- 0
--- End diff --
Question: Based on my understanding, `lowerBoundsOnCoefficients ` and
`upperBoundsOnCoefficients ` are not required to set at the same time. They can
be set at the same time.
For the first case, we can't enforce the dimension of the two matrices
because one could be `NULL`.
For the second case, we can check it.
So, we can't enforce the rule in general.
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