kedro-mlflow
0.2.0
  • Introduction
    • Kedro vs Mlflow
      • What is Kedro?
      • What is Mlflow?
      • A brief comparison between Kedro and Mlflow
        • Configuration and prototyping: Kedro 1 - 0 Mlflow
        • Versioning: Kedro 1 - 1 Mlflow
        • Model packaging and service: Kedro 1 - 2 Mlflow
        • Conclusion: Use Kedro and add Mlflow for machine learning projects
    • Motivation behind the plugin
      • When should I use kedro-mlflow?
      • Why should I use kedro-mlflow ?
        • Benchmark of existing solutions
        • Enforcing Kedro principles
    • Installation
      • Pre-requisites
      • Installation guide
      • Check the installation
      • Available commands
  • Hello world example
    • Example project
      • Check your installation
      • Install the toy project
        • Installation with kedro>=0.16.3
        • Installation with kedro>=0.16.0, <=0.16.2
    • Install dependencies
    • ``kedro-mlflow`` in action
      • Initialize kedro-mlflow
      • Run the pipeline
      • Open the UI
        • Parameters versioning
        • Journal information
        • Artifacts
  • Getting Started
    • Scope of the section
      • In the scope of the tutorial
      • Out of scope of the tutorial
    • Setting up a Kedro project
      • Create a kedro project
      • Update the template of your kedro project
      • Automatic template update (recommended)
        • Default situation
        • Special case: what happens if you have a custom run.py ?
      • Manual update
    • Configuring mlflow
      • Context: mlflow tracking under the hood
      • The mlflow.yml file
    • Versioning parameters
      • Automatic parameters versioning
      • How does MlflowNodeHook operates under the hood?
      • Frequently Asked Questions
        • Will parameters be recorded if the pipeline fails during execution?
        • How are parameters detected by the plugin?
        • How can I register a parameter if I use a TemplatedConfigLoader?
    • Opening the User Interface
      • The mlflow user interface
      • The kedro-mlflow helper
kedro-mlflow
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