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config.rst 3.86 KiB

Preset Configurations

This module contains preset configurations for baseline CNN architectures and datamodules.

Pre-configured Models

Pre-configured models you can readily use.

DataModule support

Base DataModules and raw data loaders for the various databases currently supported in this package, for your reference. Each pre-configured data module can receive the name of one or more splits as argument to build a fully functional data module that can be used in training, prediction or testing.

Pre-configured DataModules

DataModules provide access to preset pytorch dataloaders for training, validating, testing and running prediction tasks. Each of the pre-configured DataModule is based on one (or more) of the :ref:`supported base data modules <mednet.config.datamodules>`.

Cross-validation DataModules

We support cross-validation with precise preset folds. In this section, you will find the configuration for the first fold (fold-0) for all supported datamodules. Nine other folds are available for every configuration (from 1 to 9), making up 10 folds per supported datamodule.