Contextualized.ML Documentation

Tutorial

• Getting Started
• Installation
• Analyzing Contextualized Models
• Save/load the trained model.
• Inspect the model predictions.
• Check how the individual bootstrap models learned.
• Check what effects the models learned.
  • What are the homogeneous predictors of diabetes progression?
  • Finally, we can see the heterogeneous effects (effects of predictors than change based on context).
• Fitting Contextualized Models
• Download and Prepare Data
• Train a Contextualized Model
• Save the trained model.
  • The model can be re-loaded with:
  • In the next step, we will analyze what this model has learned.

Easier interfaces to ContextualizedML models.