Tutorials and Examples

Below, you can find a number of tutorials and examples for various MLflow use cases.

• Train, Serve, and Score a Linear Regression Model

• Hyperparameter Tuning

• Orchestrating Multistep Workflows

• Using the MLflow REST API Directly

• Reproducibly run & share ML code

  • Packaging Training Code in a Docker Environment

  • Python Package Anti-Tampering

  • Packaging Training Code in a Conda Environment

• Write & Use MLflow Plugins

• Instrument ML training code with MLflow

  • Gluon

  • H2O

  • Keras

  • Prophet

  • PyTorch

  • XGBoost

  • LightGBM

  • Statsmodels

  • Glmnet (R)

  • SpaCy

  • Fastai

  • SHAP

  • Prophet

  • Pmdarima

  • Diviner

  • scikit-learn

    • Diabetes example

    • Elastic Net example

    • Logistic Regression example

  • TensorFlow

    • TensorFlow 1.X

    • TensorFlow 2.X

  • RAPIDS

    • Random Forest Classifier