Apache Spark
Apache Spark is an open source distributed general-purpose cluster-computing framework. It provides an interface for programming entire clusters with implicit data parallelism and fault tolerance.
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Describe the bug
Serverless: Deprecation warning: Variables resolver reports following resolution errors:
- Cannot resolve variable at "provider.environment.CUBEJS_APP": Value not found at "self" source,
- Cannot resolve variable at "functions.cubejsProcess.events.0.event.resource": Value not found at "self" source
From a next major this will be
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Hi, if my spark app is using 2 storage type, both S3 and Azure Data Lake Store Gen2, could I put spark.delta.logStore.class=org.apache.spark.sql.delta.storage.AzureLogStore, org.apache.spark.sql.delta.storage.S3SingleDriverLogStore
Thanks in advance
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Flaky unit tests
Travis CI tests are very flaky lately and need some additional check/debugging.
Some of the tests, which are failing:
[info] - should start job, return JobStarted (async) and invoke callback *** FAILED *** (161 milliseconds)
[info] 0 was not equal to 1 (JobManagerActorSpec.scala:487)
[info] org.scalatest.exceptions.TestFailedException:
[info] at org.scalatest.MatchersHelper$.
I have a simple regression task (using a LightGBMRegressor) where I want to penalize negative predictions more than positive ones. Is there a way to achieve this with the default regression LightGBM objectives (see https://lightgbm.readthedocs.io/en/latest/Parameters.html)? If not, is it somehow possible to define (many example for default LightGBM model) and pass a custom regression objective?
Created by Matei Zaharia
Released May 26, 2014
- Repository
- apache/spark
- Website
- spark.apache.org
- Wikipedia
- Wikipedia
At this moment relu_layer op doesn't allow threshold configuration, and legacy RELU op allows that.
We should add configuration option to relu_layer.