MetOffice / MetOffice/XBTs_classification
Setup XBT classification pipeline in AWS Sagemaker
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- 4
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Description
As part of the XBT project we want to evaluate the AWS Sagemaker platform for ML projects and gain some experience of its pros and cons. To this end, we should try applying the tools to XBT model/manufacturer classification. We should try applying the AutoML tools to fairly raw data to see what it can make of it with minimal intervention.
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reviewing the XBT model/manufacturer classification data and the AWS SageMaker AutoML workflow described in the issue. Determine how to apply the tools to fairly raw data with minimal intervention, then document the resulting classification evaluation and the pros and cons of the platform.
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Assessment
- Tech stack
- aws, machine-learning
- Domain
- cloud, machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100