Github user yanboliang commented on the issue:
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@MLnick Thanks for clarification. Then I think current fix is OK, since
Scala is strongly typed, we can regard ```Array()``` or ```Array.empty``` as
wrong input and throw exception. It's not nece
Github user MLnick commented on the issue:
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Actually the behavior in Scala is consistent - passing in `Array()` or
`Array.empty()` you are passing in `Array[Nothing]` so that is why there is a
`ClassCastException`.
Passing in an empty
Github user yanboliang commented on the issue:
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@BryanCutler @MechCoder The current fix of removing the default value for
the ```stages``` param is OK for me. But we also should discuss the behavior of
```stages=[]``` which is inconsistent bet
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Github user BryanCutler commented on the issue:
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@yanboliang and @MechCoder , I updated this to remove the default value for
the `stages` param to be consistent with Scala and also made the pydocs a
little more clear that the param needs to be
Github user MechCoder commented on the issue:
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Awesome! Thansk!
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Github user BryanCutler commented on the issue:
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Yeah, there is no default value in the Scala side. So I guess the thing to
do here is to just give a better error message in Python when the param is not
set and document the behavior a little
Github user MechCoder commented on the issue:
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If that's the case then the piece of documentation that promises the
Pipeline to behave as an identity transformer when no stages are used, has to
be changed (removed).
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Github user yanboliang commented on the issue:
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@BryanCutler I found when fitting a Scala Pipeline with no stages,
```
val pipeline = new Pipeline()
val model = pipeline.fit(df)
```
it throw exceptions:
```
Failed to
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Github user yanboliang commented on the issue:
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Jenkins, test this please.
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Github user BryanCutler commented on the issue:
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Thanks for the review @MechCoder! Do you have any preference for what
should be supported from this comment (above)
https://github.com/apache/spark/pull/12790#issuecomment-227580800)
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Github user MechCoder commented on the issue:
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LGTM: cc @yanboliang @srowen
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Github user BryanCutler commented on the issue:
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Bumping this, there has been some discussion but hopefully we can get a
consensus on constructing a pipeline with no stages (should be an identity
trans). Looking at the current API, it seems l
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