Tags: rvila7/MLOpsPython
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fixing pipeline condition (microsoft#209) Fixing regression introduced in microsoft#207 - don't continue pipeline on lint/unit test errors.
Enable deploy of model registered by previous build (microsoft#207) Allows you to skip the first two stages of the pipeline and deploy a model registered by a previous build by setting the variable MODEL_BUILD_ID to the previous build's id when queuing the pipeline. This speeds up the process of fixing issues with the scoring or deployment configuration.
Use correct parameter names in web app deploy (microsoft#202)
Clarify that web app must exist for the deploy to work (microsoft#201)
Add basic descriptions to YAML pipelines (microsoft#200) * Add basic descriptions to YAML pipelines * Updated comments to address review feedback * Add missing feedback fix
fix model input features (microsoft#198) Co-authored-by: Eugene Fedorenko <eugene.fedor@gmail.com>
Getting started refactoring (microsoft#197) * State explicitly the flow order (Template as it is with Diabetes-> Bootstrap with your project code) * Fix “multistage pipeline structure” explanation * Clarify the R approach. It has only the model training. There is no evaluation/registration * Fix the confusion with AzureResourceConnection and WORKSPACE_SVC_CONNECTION * Explain using of a Docker image in the pipeline * Link to bring-your-own-code (Bryan’s) article * Fix broken links (e.g. diabetes_regression-ci-build-train.yml) * Provide ML Service connection screenshot * Explain explicit "diabetes" names. (e.g. The repo contains a sample “diabetes regression” project so here and there all names contain "diabetes") * Clarify the folder structure (Common folders (e.g. .pipelines, ml_service) vs Project folders (e.g. diabetes_regression))
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