Updated thesis

src/training_scripts/non_autoregressive_quantiles.py

@@ -5,7 +5,7 @@ clearml_helper = ClearMLHelper(
     project_name="Thesis/NrvForecast"
 )
 task = clearml_helper.get_task(
-    task_name="NAQR: Non Linear (2 - 512)"
+    task_name="NAQR: Non Linear (2 - 256)"
 )
 task.execute_remotely(queue_name="default", exit_process=True)
 
@@ -30,7 +30,7 @@ from src.models.time_embedding_layer import TimeEmbedding
 #### Data Processor ####
 data_config = DataConfig()
 
-data_config.NRV_HISTORY = False
+data_config.NRV_HISTORY = True
 data_config.LOAD_HISTORY = False
 data_config.LOAD_FORECAST = False
 
@@ -53,7 +53,7 @@ data_processor.set_full_day_skip(True)
 #### Hyperparameters ####
 data_processor.set_output_size(96)
 inputDim = data_processor.get_input_size()
-epochs = 5
+epochs = 300
 
 # add parameters to clearml
 quantiles = task.get_parameter("general/quantiles", cast=True)
@@ -68,7 +68,7 @@ else:
 
 model_parameters = {
     "learning_rate": 0.0001,
-    "hidden_size": 512,
+    "hidden_size": 256,
     "num_layers": 2,
     "dropout": 0.2,
 }