cloud-ml-examples
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rapidsai
A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud
These examples are for GCP's AI Platform which are no longer developed compared to Vertex AI, and as discussed in the examples tracker, noting in the READMEs that these examples...
This PR rewrites a few things in `DetailConfig.md` and moved to `readme.md`. Verified the notebooks actually runs in this setup.
The `normalize=True` option has been [marked as deprecated](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LinearRegression.html) in the latest scikit-learn. Use pipelines instead.
The default size of 5 GB is not sufficient to hold the Rapids conda package.
Currently, there is a frozen conda environment file that is used to install RAPIDS into the databricks base container. This frozen file needs to be generated manually from the latest...
The [EC2 MNMG notebook](https://github.com/rapidsai/cloud-ml-examples/blob/main/aws/rapids_ec2_mnmg.ipynb) currently uses the stable 21.06 container (`rapidsai/rapidsai:21.06-cuda11.0-runtime-ubuntu18.04-py3.8`) and is able to launch the EC2 cluster successfully. However, when I replace it with the latest nightly container...
When running [dask_cuML_Exploration notebook](https://github.com/isVoid/cloud-ml-examples/blob/f2683711b7ff5d1c3ae15ba41b4e828eccf8b2a3/dask/kubernetes/Dask_cuML_Exploration.ipynb), I ran into the following error: ``` kubernetes_asyncio.client.exceptions.ApiException: (500) Reason: Internal Server Error HTTP response headers: HTTP response body: {"kind":"Status","apiVersion":"v1","metadata":{},"status":"Failure","message":"The POST operation against Pod could not...
Currently, cloud ml examples, except for Azure, point to RAPIDS 0.18, confusing some - [ ] Azure: dask-cloud provider - [ ] Azure: other examples - [ ] AWS -...
