Updated diffusion section of thesis + adding metrics to diffusion experiments

src/training_scripts/autoregressive_quantiles.py

@@ -5,7 +5,7 @@ clearml_helper = ClearMLHelper(project_name="Thesis/NrvForecast")
 task = clearml_helper.get_task(
     task_name="AQR: GRU (8 - 512) + Load + PV + Wind + NP + QE (dim 5)"
 )
-task.execute_remotely(queue_name="default", exit_process=True)
+# task.execute_remotely(queue_name="default", exit_process=True)
 
 from src.policies.PolicyEvaluator import PolicyEvaluator
 from src.policies.simple_baseline import BaselinePolicy, Battery
@@ -24,7 +24,6 @@ from torch.nn import MSELoss, L1Loss
 import torch.nn as nn
 from src.models.time_embedding_layer import TimeEmbedding, TrigonometricTimeEmbedding
 
-
 #### Data Processor ####
 data_config = DataConfig()