Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/4233#discussion_r24055623
--- Diff:
mllib/src/test/scala/org/apache/spark/mllib/classification/LogisticRegressionSuite.scala
---
@@ -459,7 +461,41 @@ class LogisticRegressionSuite extends FunSuite with
MLlibTestSparkContext with M
// very steep curve in logistic function so that when we draw samples
from distribution, it's
// very easy to assign to another labels. However, this prediction
result is consistent to R.
validatePrediction(model.predict(validationRDD.map(_.features)).collect(),
validationData, 0.47)
+ }
+
+ test("model export/import") {
--- End diff --
That requires us to maintain the exporters for each version. I'm thinking
of keeping one saved model as test resources and test against that.
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