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Hi there,
If we want to have many output variables, we'll need to add wrapper class
e.g. OptimizeResult which will embrace all those output variables.
Since
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ping @davies
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Thanks, merged to master and branch-1.6.
cc @marmbrus
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@selvinsource @mengxr I modified your [code of pmml export
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[SPARK-11723] [ML] [Doc] Use LibSVM data source rather than
MLUtils.loadLibSVMFile to load DataFrame
Use LibSVM data source rather than MLUtils.loadLibSVMFile to load DataFrame
You can merge thi
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I see. But where it is used? `RateLimiter` has `getCurrentLimit` to return
the rate and `BlockGenerator ` implements `RateLimiter`.
`ReceiverSupervisorImpl` has `getCurre
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"spark.streaming.receiver.maxRate" in `RateLimiter`.
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Can one of the admins verify this patch?
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@HyukjinKwon The spell is "retest this please" :)
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retest this please
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I just tried to scan current codebase and can't find where the rate cap is
actually used in other receiver-based streams. There is
`spark.streaming.backpressure.enabled`
GitHub user vikasnp opened a pull request:
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[SPARK-11549][Docs] Replace example code in mllib-evaluation-metrics.md
using include_example
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LGTM except for a few minor styling issue. I can merge it right after you
fix them.
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Github user taishi-oss commented on the pull request:
https://github.com/apache/spark/pull/8534#issuecomment-156377905
I modified the code that was pointed out.
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/9642#issuecomment-156376081
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Github user zeocio commented on the pull request:
https://github.com/apache/spark/pull/9679#issuecomment-156375557
Changes to string formatting of Filter expr can break the test case. Did
this recently change from "(key#27 = 15)" to "EqualTo(key,15)" ?
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/9685#issuecomment-156374804
Merged build finished. Test FAILed.
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Github user AmplabJenkins commented on the pull request:
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/9685#issuecomment-156374633
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Github user SparkQA commented on the pull request:
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Github user jerryshao commented on the pull request:
https://github.com/apache/spark/pull/9665#issuecomment-156372453
For other receiver-based stream there also has a max rate cap, so my
question is that why are you only address here in direct Kafka stream?
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Github user NarineK commented on the pull request:
https://github.com/apache/spark/pull/9680#issuecomment-156372445
in R the general formula for correlation is the following:
cor(x, y = NULL, use = "everything", method = c("pearson", "kendall",
"spearman"))
in #9366 is the spe
Github user AmplabJenkins commented on the pull request:
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