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@liyinan926 @nrchakradhar Addressed all your comments, thanks for the
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Is someone able to kick off the Jenkins testing on this PR?
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@cloud-fan `VectorizedHashMapGenerator`?
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@xuejianbest thank you for your update. Would it be possible to commit test
cases, too?
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I looked at all the 0x-0x characters (unicode) and showed them
under Xshell, then found all the full width characters. Get the latest regular
expression.
A new version has been submi
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@holdenk @srowen anyway I realized that computing the lift for previously
saved models is not feasible as we don't know the number of training records,
so we cannot compute the items support.
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thanks for pointing that out @hhbyyh . I wasn't aware of it. I think lift
and confidence are more useful metrics than the support (the votes on the JIRAs
seem also to agree with me on this). Anyway
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[SPARK-25261][MINOR][DOC] correct the default unit for
spark.executor|driver.memory as described in configuration.md
## What changes were proposed in this pull request?
As described in
[SP
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[SPARK-25260][SQL] Fix namespace handling in SchemaConverters.toAvroType
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`toAvroType` converts spark data type to avro schema. It a
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[`e91a33c`](https://github.com/apache/spark/commit/e9
Github user cloud-fan commented on the issue:
https://github.com/apache/spark/pull/21968
can we do the same thing for the columnar one?
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