apache-spark

We currently use pylint 2.11.1. This is a bit old so we should upgrade it to the latest version (2.14.4):

https://github.com/mlflow/mlflow/blob/d40780be361f4bd2741c2e8fcbd428c1d693edcf/requirements/lint-requirements.txt#L1

• https://pypi.org/project/pylint/2.11.1/
• https://pypi.org/project/pylint/2.14.4/

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?

Follow up on #3520
Add a metadata entry with the KVs underlying DB type. This can be taken from the configuration and does not need a store specific implementation

Describe the bug
When the finalizer is called for CLR JvmObjectId objects, it calls the rm DotnetBackend method and this calls goes through the JvmBridge class. Because the rm call goes through [JvmBridge.CallJavaMethod](https://github.com/do

This is reported by Manjunath from Slack channel.
For work_dir: "dbfs:/feathr_getting_started"
The user was running jupyter notebook from windows.
without forward slash('dbfs:/feathr_getting_started') the job configs were coming as '--join-config', 'dbfs:/feathr_getting_started\feature_join.conf'

To fix this, the user need to add foward slash: `work