YeahNew

> > > @YeahNew , JDK 1.8 is fine. It looks like a version mismatch issue as I saw a `NoSuchMethodError`. Just to check, did you upgrade Ray and RayDP...

> > > @YeahNew , JDK 1.8 is fine. It looks like a version mismatch issue as I saw a `NoSuchMethodError`. Just to check, did you upgrade Ray and RayDP...

> > > Hi @YeahNew , the latest stable version of raydp support ray 1.3.0. Ray 1.4.0 changes the signature, that's why you see this message. Have you tried raydp...

> > > What's the error message? when I try raydp 0.3.0 with Ray 1.3.0. the error message as follows: -------------message------------ >Connected to pydev debugger (build 201.8538.36) Using backend: pytorch...

> > > This is weird. I just tried and it works. Just to make sure, did you restart the ray cluster after installing ray 1.3.0? It complains MalformedJsonException, is...

> > > This is weird. I just tried and it works. Just to make sure, did you restart the ray cluster after installing ray 1.3.0? It complains MalformedJsonException, is...

> > > Confirmed with @YeahNew offline, the error only happens when running in IDE. There is no error if running in command line. Yes, Thank you very much Carson.

> > > Hi @YeahNew , it seems this is no longer related to Spark. If your data is not in Spark, probably you can directly use Ray's API instead...

> > > Hi, glad you tried raydp. > > Ray's object store is shared among nodes. By calling our `create_ml_dataset_from_spark`, you create a `MLDataset`, which is partitioned. That means...

> > > Hi @YeahNew , I can not find your reply, but I saw it in my mailbox. Have you solved the problem? I think you don't need to...