feat(Forecasting): pytorch-forecasting scaffolding is now working, added narrow data format, fixed missing time column index name (#5)

* feat: Started implementing pytorch-forecasting.

* feat(Forecasting): pytorch-forecasting scaffolding is now working, added narrow data format, fixed missing `time` column index name

Co-authored-by: Daniel Szemerey <szemy2@gmail.com>

lightning/timeseries_dataset.py

@@ -0,0 +1,18 @@
+import os
+import pandas as pd
+
+import torch
+from torch.utils.data import Dataset
+
+
+class TimeSeriesDataset(Dataset):
+    def __init__(self, file_loader_hook):
+        
+        df = file_loader_hook()
+
+    def __len__(self):
+        return len(self.img_labels)
+
+    def __getitem__(self, idx):
+        pass
+        # return image, label