Evaluating Recommender Output
LensKit’s evaluation support is based on post-processing the output of recommenders
and predictors. The batch utilities provide support for generating these outputs.
We generally recommend using Jupyter notebooks for evaluation.
Saving and Loading Outputs
In our own experiments, we typically store the output of recommendation runs in LensKit
experiments in CSV or Parquet files, along with whatever parameters are relevant from