lindong28 commented on code in PR #196:
URL: https://github.com/apache/flink-ml/pull/196#discussion_r1091380089
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flink-ml-lib/src/test/java/org/apache/flink/ml/feature/StandardScalerTest.java:
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@@ -206,7 +206,7 @@ public void testSaveLoadAndPredict() throws Exception {
model = TestUtils.saveAndReload(tEnv, model,
tempFolder.newFolder().getAbsolutePath());
assertEquals(
- Arrays.asList("mean", "std"),
+ Arrays.asList("mean", "std", "version", "timestamp"),
Review Comment:
> What do you mean by verify model data contains those columns? Do you mean
we only verify model data and leave model version and timestamp unchecked?
Yes that is what I means. IMO StandardScalerTest should verify the expected
behavior of StandardScalerModel from the perspective of users who want to use
StandardScalerModel. IMO users of StandardScalerModel should not need to know
concepts such as model version or timestamp. Users should
`OnlineStandardScaler` needs to know these information, and this behavior is
covered by `OnlineStandardScalerTest`.
> I think letting StandardScalerModel have model version and timestamp is
reasonable, since offline learning could be viewed as a special case of online
learning
Yes we can tell users this. But for users of StandardScaler, there is no
benefit to knowing this. So it seems simpler not to tell users of
`StandardScalerModel` about version etc.?
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