Github user yanboliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/12393#discussion_r59721591
--- Diff: R/pkg/R/mllib.R ---
@@ -101,12 +101,54 @@ setMethod("summary", signature(object =
"GeneralizedLinearRegressionModel"),
jobj <- object@jobj
features <- callJMethod(jobj, "rFeatures")
coefficients <- callJMethod(jobj, "rCoefficients")
- coefficients <- as.matrix(unlist(coefficients))
- colnames(coefficients) <- c("Estimate")
+ deviance.resid <- callJMethod(jobj, "rDevianceResiduals")
+ dispersion <- callJMethod(jobj, "rDispersion")
+ null.deviance <- callJMethod(jobj, "rNullDeviance")
+ deviance <- callJMethod(jobj, "rDeviance")
+ df.null <- callJMethod(jobj, "rResidualDegreeOfFreedomNull")
+ df.residual <- callJMethod(jobj, "rResidualDegreeOfFreedom")
+ aic <- callJMethod(jobj, "rAic")
+ iter <- callJMethod(jobj, "rNumIterations")
+ family <- callJMethod(jobj, "rFamily")
+
+ deviance.resid <- dataFrame(deviance.resid)
+ coefficients <- matrix(coefficients, ncol = 4)
+ colnames(coefficients) <- c("Estimate", "Std. Error", "t
value", "Pr(>|t|)")
rownames(coefficients) <- unlist(features)
- return(list(coefficients = coefficients))
+ ans <- list(deviance.resid = deviance.resid, coefficients =
coefficients,
+ dispersion = dispersion, null.deviance =
null.deviance,
+ deviance = deviance, df.null = df.null,
df.residual = df.residual,
+ aic = aic, iter = iter, family = family)
+ class(ans) <- "summary.GeneralizedLinearRegressionModel"
+ return(ans)
})
+#' Print the summary of GeneralizedLinearRegressionModel
+#'
+#' @rdname print
+#' @name print.summary.GeneralizedLinearRegressionModel
+#' @export
+print.summary.GeneralizedLinearRegressionModel <- function(x, ...) {
--- End diff --
Add this S3 function for formatted output of
summary(GeneralizedLinearRegressionModel).
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