docs/guide/evaluation/index.rst
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.
When writing recommender system evaluation results for publication, it's
important to be precise about how exactly your metrics are being computed
:cite:p:`tammQualityMetricsRecommender2021`; to aid with that, each metric
function's documentation includes a mathematical definition of the metric.
.. _batch utilities: batch.html
.. _Jupyter: https://jupyter.org
.. toctree::
:caption: Evaluation Topics
:maxdepth: 1
predictions
rankings