training/walk_forward/__init__.py

from .inference_batched import walk_forward_inference_batched
from .inference import walk_forward_inference
from .train import walk_forward_train
from .process_transformations import walk_forward_process_transformations
feat(Project): use SKLearn models directly, removed custom ensembling, use 5 minute data, batch inference, numba cusum filter (#192 ) 2022-02-17 16:36:35 +01:00			`from .inference_batched import walk_forward_inference_batched`
Refactor(Training): new outcome types, representative pipeline steps, bet-sizing (#187 ) 2022-01-29 06:41:40 +01:00			`from .inference import walk_forward_inference`
			`from .train import walk_forward_train`
chore(Linter): reformatted code with black (#211 ) 2022-02-17 19:22:17 +01:00			`from .process_transformations import walk_forward_process_transformations`