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+.. currentmodule:: slideflow.model
+
+slideflow.model
+===============
+
+This module provides the :class:`ModelParams` class to organize model and training
+parameters/hyperparameters and assist with model building, as well as the :class:`Trainer` class that
+executes model training and evaluation. :class:`RegressionTrainer` and :class:`SurvivalTrainer`
+are extensions of this class, supporting regression and Cox Proportional Hazards outcomes, respectively. The function
+:func:`build_trainer` can choose and return the correct model instance based on the provided
+hyperparameters.
+
+.. note::
+    In order to support both Tensorflow and PyTorch backends, the :mod:`slideflow.model` module will import either
+    :mod:`slideflow.model.tensorflow` or :mod:`slideflow.model.torch` according to the currently active backend,
+    indicated by the environmental variable ``SF_BACKEND``.
+
+See :ref:`training` for a detailed look at how to train models.
+
+Trainer
+*******
+.. autoclass:: Trainer
+.. autofunction:: slideflow.model.Trainer.load
+.. autofunction:: slideflow.model.Trainer.evaluate
+.. autofunction:: slideflow.model.Trainer.predict
+.. autofunction:: slideflow.model.Trainer.train
+
+RegressionTrainer
+*****************
+.. autoclass:: RegressionTrainer
+
+SurvivalTrainer
+***************
+.. autoclass:: SurvivalTrainer
+
+Features
+********
+.. autoclass:: Features
+.. autofunction:: slideflow.model.Features.from_model
+.. autofunction:: slideflow.model.Features.__call__
+
+Other functions
+***************
+.. autofunction:: build_trainer
+.. autofunction:: build_feature_extractor
+.. autofunction:: list_extractors
+.. autofunction:: load
+.. autofunction:: is_tensorflow_model
+.. autofunction:: is_tensorflow_tensor
+.. autofunction:: is_torch_model
+.. autofunction:: is_torch_tensor
+.. autofunction:: read_hp_sweep
+.. autofunction:: rebuild_extractor
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