Issue Description

I'm unable to run DL4J with nvidia CUDA back end despiite following the instructions here:
https://deeplearning4j.org/docs/latest/deeplearning4j-config-gpu-cpu
Project works fine with native back end. When I debug, I can see the service loader finding the JCublasBackend.java class and then failing on isAvailable().

As far as I can tell I've done everything recommende

Hey Cube.Js team!
I get the following yarn warnings when installing dependencies. Can these be fixed? Thank you.

warning @cubejs-backend/server-core > @cubejs-backend/schema-compiler > joi@14.3.1: This module has moved and is now available at @hapi/joi. Please update your dependencies as this version is no longer maintained an may contain bugs and security issues.

warning @cubejs-backe

Currently they use sys.process to drop down to Linux command line.
Also there are manual steps where the user is expected to do things.

e.g. mllib/planes.snb talks about downloading a bz2 file, uncompressing, copying to correct destination.

All well and good, but doesn't work too well for Windows users.

Would be improved by instead keeping it pure JVM, e.g. use apache commons.io/compress calls

Hello,

I was able to run python scripts in dev mode using the steps provided in documentation. but for production, I am not sure which all folders to keep and the process to follow. editing the local conf and local sh files and running the server_deploy script, I was able to generate the server jar. But still i had to manually add the python context and upload my egg file.
Can someone pleas

Problem
Since Java 8 was introduced there is no need to use Joda as it has been replaced the native Date-Time API.

Solution
Ideally greping and replacing the text should work (mostly)

Additional context
Need to check if de/serializing will still work.

I am trying to explain the predictions made by my XGboost model using MMLSparks Lime package for scala. This is my first time using LIME library, I am able to perform a fit operation on the dataset and when I am trying to perform the transform operation, the program stops with an exception, "Caused by: java.lang.ClassCastException: org.apache.spark.ml.linalg.SparseVector cannot be cast to org.apac

Validation should be added to directed fields in schemas. This will be done as part of work for version 2 as adding in validation would cause breaking changes.

This template isn't a strict requirement to open issues, but please try to provide as much information as possible.

Version: 3.4.3
Module: quill-codegen-jdbc
Database: postgres

Expected behavior

It should provide a clear example.

Actual behavior

So confusing and cannot follow

Steps to reproduce the behavior

Reading https://github.com/getquill/quill/blob