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.

As per the title

I wanted to use cubejs backend-server with an existing expressjs deployment, so I'm trying to avoid adding too many environment variables because they can be hard to keep track of (there are already many environment variables in the existing project) and I just thought it'd be a natural progression since most of the env configs can already be set from code :)

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

Used Spark version
2.4.3
Used Spark Job Server version
(Released version, git branch or docker image version)
0.9.0-SNAPSHOT
Deployed mode
(client/cluster on Spark Standalone/YARN/Mesos/EMR or default)
client spark standalone
Actual (wrong) behavior
curl -d "input.string = a b c a b see hello world ssdsds " 'localhost:8090/jobs?appName=test&classPath=spark.jobserver.WordCo

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?