Just focus on the data, TezzAutoML will do the rest.
You'll need to do all the preprocessing with the data the way you want.
from tezzautoml.automl import AutoML
automl = AutoML(data=df, target='target', task='classification', n_trials=100, fast_mode=False)When Fast Mode is False, it will use KFold for Regression tasks and StratifiedKFold for Classification tasks.
When Fast Mode is True, it will use train_test_split for both the tasks.
NOTE: Will be writing complete documentation when 0.2 version is ready. Please wait for the version as this version is still in development with multiple release daily.
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.