Nkululeko: how to augment the training set

To do data augmentation, you can use the augment interface.
In the DATA section of your configuration file, you specify the name of the output list of files like so

augment = my_augmentations.csv

and then call the interface:

python - nkululeko.augment --config myconfig.ini

Once you augmentations have been processed, you can add them to the training in a new experiment:

databases = ['original data', 'augment']
augment = my_augmentations.csv
augment.type = csv
augment.absolute_path = False
augment.split_strategy = train

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