AWS Sagemaker Package

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
20/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Stale
Tech stack
aws, r
Domain
cloud, machine-learning

Research direction

The issue names the ec2 and s3 packages and proposes a new SageMaker package for models developed with R frameworks such as caret and h2o. Start by reviewing the current status of those packages and the project’s contribution guidance; no files or tests are identified. Done would require an agreed scope and implementation plan for SageMaker support.

Written by the indexing model from the issue text.

Description

Hey all,

I was looking to develop a couple of these packages here further to be able to deploy some models deloped using R frameworks(caret, h2o, etc) using aws(sagemaker). To that end, I was looking to contribute to the ec2 and s3 packages and develop a package for sagemaker. It looks like contributions to these packages have ebbed and flowed in the recent months if anyone could bring me up to speed with the status of these packages I would greatly appreciate it!

Dominant language
CSS
Stars
29
Forks
3
No merged PRs in 30d

Getting set up

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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