Kedro Azure ML Plugin

Contents:

  • Introduction
    • What Azure ML Pipelines?
    • Why to integrate Kedro project with Azure ML Pipelines?
  • Installation
    • Prerequisites
    • Kedro setup
    • Plugin installation
      • Install from PyPI
      • Install from sources
    • Available commands
  • Quickstart
    • Video-tutorial
    • Prerequisites
    • Project initialization
    • Adjusting the Data Catalog
    • Pick your deployment option
      • (Option 1) Docker image flow
      • (Option 2) Code upload flow
    • Run the pipeline
    • Using a different compute cluster for specific nodes
    • Marking a node as deterministic
    • Distributed training
    • Run customization
  • MLflow Integration
  • Data Assets
    • API Reference
      • Pipeline data passing
        • AzureMLPipelineDataset
      • V2 SDK
        • AzureMLAssetDataset
      • V1 SDK
        • AzureMLPandasDataset
        • AzureMLFileDataset
  • Development
    • Prerequisites
    • Local development
    • Starting the job from local machine
Kedro Azure ML Plugin
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