Daniel Szemerey ee35332f58 feature(Models): Implemented a basic Neural Network with Pytorch-Lightning (#101) ...

* feat: Added base functions for Neural Net.

* feat: Added function to handle Neural Nets.

* fix: Fixed fit loop

* feat: Neural Net trains now, need to test it.

* feat: Prediction now works on the neural net.

* fix: Put back config and run_pipeline.py

* fix: Took out import from run_pipeline.

* fix(Models): added get_name(), adjusted pytorch model output size

* fix(Tests): fixed tests

Co-authored-by: Mark Aron Szulyovszky <mark.szulyovszky@gmail.com>

2022-01-05 12:25:03 +01:00

..

collections.py

feat(Data): added daily_glassnode DataCollection (#99)

2022-01-03 13:57:36 +01:00

get_prices.py

feat(Data): create DataSource, DataCollection, added hourly crypto data (#96)

2021-12-31 19:04:27 +01:00

load_data.py

feat(DataLoader): caching MVP, added ability to use standard scaling for exogenous data, scaling is now also done before feature selection (#105)

2022-01-04 11:44:35 +01:00

pytorch_dataset.py

feature(Models): Implemented a basic Neural Network with Pytorch-Lightning (#101)

2022-01-05 12:25:03 +01:00