Richard Liaw

[core] Get IP Address of Actor

4

# Describe your feature request I want to be able to map Actors to the Nodes that they are running on. I know the IP address of each node (via...

cuML has some great GPU-based ML algorithms. We should provide a couple examples.

Right now the default API doesn't actually support categorical/integer formats. It would be good to automatically shim into it. Perhaps this could be done via https://github.com/ray-project/ray/pull/10401

It will be easy to showcase tune-sklearn usage and tips if we provide a couple jupyter notebooks.

[Feature] Publicize the stability timeline

6

### Search before asking - [X] I had searched in the [issues](https://github.com/ray-project/kuberay/issues) and found no similar feature requirement. ### Description We must let users know when Kuberay will be in...

OSError on 128 GPUs for distributed_replicated on AWS P3

8

Hi, I'm trying to run a distributed replicated benchmark with 128 V100s and I'm getting a OSError. Some more details: - Using AWS P3 instances (16 of them) - Batch...

Contributors?

2

Would it be possible show "Contributors" over time?

Vizualize with different granularities?

1

I've been looking everywhere for a project like this; glad to have finally found it! The viz is great, and this "update" button is also a nice touch! Saves me...

Placement groups behavior with XGBoost + Tune?

1

``` ray_params = xgbr.RayParams( max_actor_restarts=1, gpus_per_actor=0, cpus_per_actor=2, num_actors=4 ) def tune_xgb(config, ray_params=None, train_set=None, test_set=None): evals_result = {} bst = xgbr.train( { "objective": "multi:softmax", "eval_metric": ["mlogloss", "merror"], "num_boost_round": 100, "num_class": num_classes,...