API Documentation

dnadna	Top-level dnadna package.
dnadna.simulation	Implements container for DNADNA-compatible simulation datasets.
dnadna.data_preprocessing	Implements pre-processing of simulation data in preparation for a training run, including training config initialization.
dnadna.training	Implements model training on simulation data using neural nets.
dnadna.nets	DNADNA’s neural nets used for model training.
dnadna.transforms	Data transforms that can be applied during training.
dnadna.simulator	Base implementation for Simulator classes.
dnadna.snp_sample	Implements the SNPSample class, a generic container for DNADNA’s SNP data, consisting of the SNP matrix itself and the SNP positions array.
dnadna.datasets	Utilities for loading data from data sets, including support for different data set formats:
dnadna.params	Management of parameters to be learned in a training run.
dnadna.utils	Miscellaneous development utilities.
dnadna.examples	Example implementations of plugins, demonstrating how DNADNA can be customized.