Add model evaluation script

eval_model.py

@@ -0,0 +1,31 @@
+import torch
+import sys
+from train_model import MLP, PlantsDataset, test
+from torch.utils.data import DataLoader
+from contextlib import redirect_stdout
+
+
+def load_model():
+    model = MLP()
+    model.load_state_dict(torch.load('./model_out'))
+    return model
+
+
+def load_dev_dataset(batch_size=64):
+    plant_dev = PlantsDataset('data/Plant_1_Generation_Data.csv.dev')
+    return DataLoader(plant_dev, batch_size=batch_size)
+
+
+def main():
+    model = load_model()
+    dataloader = load_dev_dataset()
+    
+    loss_fn = torch.nn.MSELoss()
+
+    with open('evaluation_results.txt', 'w') as f:
+        with redirect_stdout(f):
+            test(dataloader, model, loss_fn)
+
+
+if __name__ == "__main__":
+   main()