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feat: Add MLflow Tracking blueprint #334
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LGTM. I left few minor comments
ai-ml/mlflow/versions.tf
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# backend "s3" { | ||
# bucket = "doeks-github-actions-e2e-test-state" | ||
# region = "us-west-2" | ||
# key = "e2e/argo-workflow/terraform.tfstate" |
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change argo-workflow
to mflow
ai-ml/mlflow/addons.tf
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#--------------------------------------- | ||
# NVIDIA Device Plugin Add-on | ||
#--------------------------------------- | ||
nvidia-device-plugin = { |
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Use Data Addons module for this add-on
ai-ml/mlflow/main.tf
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} | ||
|
||
data "aws_availability_zones" "available" {} | ||
# data "aws_region" "current" {} |
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remove this commented line
This PR has been automatically marked as stale because it has been open 30 days |
Pull request closed due to inactivity. |
What does this PR do?
🛑 Please open an issue first to discuss any significant work and flesh out details/direction - we would hate for your time to be wasted.
Consult the CONTRIBUTING guide for submitting pull-requests.
This PR adds a blueprints for deploying MLFlow Tracking on Amazon EKS.
MLflow Tracking is an API and UI for logging parameters, code versions, metrics, and artifacts when running your machine learning code and for later visualizing the results.
Motivation
Resolve #16
More
website/docs
orwebsite/blog
section for this featurepre-commit run -a
with this PR. Link for installing pre-commit locallyFor Moderators
Additional Notes