feat(Models): added lightGBM, moved other models to separate files (#128)

* feat(Models): added lightGBM, moved other models to separate files

* feat(Models): added non-working statsmodel wrapper

* fix(Models): added work-in-progress comment to StatsModels

models/statsmodels.py

@@ -0,0 +1,35 @@
+from __future__ import annotations
+from statsmodels.tsa.base.tsa_model import TimeSeriesModel
+from models.base import Model
+import numpy as np
+from copy import deepcopy
+
+
+class StatsModel(Model):
+
+    # This is work in progress
+    data_scaling = 'scaled'
+    only_column = None
+    feature_selection = 'on'
+    model_type = 'ml'
+    predict_window_size = 'single_timestamp'
+
+    def __init__(self, model: TimeSeriesModel):
+        self.model = model
+    
+    def fit(self, X: np.ndarray, y: np.ndarray) -> None:
+        self.model.fit(X, y)
+
+    def predict(self, X) -> tuple[float, np.ndarray]:
+        pred = self.model.predict(X).item()
+        return (pred, np.array([0]))
+    
+    def clone(self) -> StatsModel:
+        return StatsModel(deepcopy(self.model))
+
+    def get_name(self) -> str:
+        return self.model.__class__.__name__
+    
+    def initialize_network(self, input_dim:int, output_dim:int):
+        pass
+