Github user yanboliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/15930#discussion_r88887331
--- Diff: R/pkg/R/mllib.R ---
@@ -303,9 +303,18 @@ setMethod("summary", signature(object =
"GeneralizedLinearRegressionModel"),
} else {
dataFrame(callJMethod(jobj, "rDevianceResiduals"))
}
- coefficients <- matrix(coefficients, ncol = 4)
- colnames(coefficients) <- c("Estimate", "Std. Error", "t
value", "Pr(>|t|)")
- rownames(coefficients) <- unlist(features)
+ # If the underlying WeightedLeastSquares using "normal"
solver, we can provide
+ # coefficients, standard error of coefficients, t value and p
value. Otherwise,
+ # it will be fitted by local "l-bfgs", we can only provide
coefficients.
+ if (length(features) == length(coefficients)) {
+ coefficients <- matrix(coefficients, ncol = 1)
+ colnames(coefficients) <- c("Estimate")
+ rownames(coefficients) <- unlist(features)
+ } else {
+ coefficients <- matrix(coefficients, ncol = 4)
+ colnames(coefficients) <- c("Estimate", "Std. Error", "t
value", "Pr(>|t|)")
+ rownames(coefficients) <- unlist(features)
+ }
--- End diff --
Updated.
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