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kedro-mlflow 0.14.4 documentation - Home kedro-mlflow 0.14.4 documentation - Home
  • Introduction
  • Getting started
  • Experiment tracking
  • Pipeline as model
    • API
    • Changelog
    • Migration guides
  • GitHub
  • PyPI
  • Slack
  • Introduction
  • Getting started
  • Experiment tracking
  • Pipeline as model
  • API
  • Changelog
  • Migration guides
  • GitHub
  • PyPI
  • Slack

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Introduction to kedro-mlflow

  • Introduction to kedro and mlflow
  • Motivation behind the plugin
  • Introduction

Introduction#

Introduction to kedro-mlflow

  • Introduction to kedro and 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

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The kedro-mlflow plugin

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Introduction to kedro and mlflow

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