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>

.gitignore

@@ -132,5 +132,5 @@ lightning/lightning_logs/
 results.csv
 predictions.csv
 wandb/
-
-.cachedir/**
+lightning_logs/
+.cachedir/**