Github user yanboliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/17757#discussion_r113215088
--- Diff: R/pkg/inst/tests/testthat/test_mllib_classification.R ---
@@ -284,22 +284,11 @@ test_that("spark.mlp", {
c("1.0", "1.0", "1.0", "1.0", "0.0", "1.0", "2.0", "2.0",
"1.0", "0.0"))
# test initialWeights
- model <- spark.mlp(df, label ~ features, layers = c(4, 3), maxIter = 2,
initialWeights =
+ model <- spark.mlp(df, label ~ features, layers = c(4, 3),
initialWeights =
c(0, 0, 0, 0, 0, 5, 5, 5, 5, 5, 9, 9, 9, 9, 9))
mlpPredictions <- collect(select(predict(model, mlpTestDF),
"prediction"))
expect_equal(head(mlpPredictions$prediction, 10),
- c("1.0", "1.0", "1.0", "1.0", "2.0", "1.0", "2.0", "2.0",
"1.0", "0.0"))
-
- model <- spark.mlp(df, label ~ features, layers = c(4, 3), maxIter = 2,
initialWeights =
--- End diff --
If set ```maxIter = 2```, the result is not converged, so the result is
vulnerable. We should check the last converged result.
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