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>

models/average.py

@@ -27,4 +27,7 @@ class StaticAverageModel(Model):
         return self
 
     def get_name(self) -> str:
-        return 'static_average'
+        return 'static_average'
+
+    def initialize_network(self, input_dim:int, output_dim:int):
+        pass