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>

tests/test_evaluation.py

@@ -52,6 +52,12 @@ class EvenOddStubModel(Model):
 
     def clone(self):
         return self
+    
+    def get_name(self) -> str:
+        return 'test'
+
+    def initialize_network(self, input_dim: int, output_dim: int):
+        pass
 
 
 def test_evaluation():

tests/test_walk_forward.py

@@ -51,6 +51,12 @@ class IncrementingStubModel(Model):
     def clone(self):
         return self
 
+    def get_name(self) -> str:
+        return 'test'
+    
+    def initialize_network(self, input_dim: int, output_dim: int):
+        pass
+    
 def test_walk_forward_train_test():
     X, y = __generate_incremental_test_data(no_of_rows)