If you want to get familiar with Alpenglow quickly, we collected a list of resources for you to read.
- The documentation of :py:class:`alpenglow.OnlineExperiment`. This describes basic information about running online experiments with alpenglow, and the parameters that are shared between all implementations.
- The documentation of implemented experiments in the :py:mod:`alpenglow.experimens` package, which briefly describe the algorithms themselves and their parameters.
- The documentation of :py:class:`alpenglow.offline.OfflineModel`, which describes how to use Alpenglow for traditional, scikit-learn style machine learning.
- The documentation of implemented offline models in the :py:mod:`alpenglow.offline.models` package.
- Any pages from the the General section of this documentation