Tutorials

To get started using the package, we recommend going through the tutorials in the order listed below. Each tutorial also a jupyter notebook which you can download and run locally.

Getting started

• Introductory Tutorial
  • Loading data
    • Loading prediction times
    • Loading a temporal predictor
    • Loading a static predictor
    • Loading a temporal outcome
  • Specifying how to flatten the data
    • Temporal outcome specification
    • Temporal predictor specification
    • Static predictor specification
  • Flattening
• Doing multiple things at once and time deltas
  • Multiple aggregation functions and lookperiods
  • Multiple values from the same dataframe
  • TimeDelta features
• Adding text features
  • The dataset
  • Generating predictors from embedded text
• Creating features from legacy feature specifications