Removed completed TODOs.

ANN_Training_Data_Generator.py

@@ -2,17 +2,7 @@
 """
 @author: Soraya Terrab (sorayaterrab), Laura C. Kühle
 
-TODO: Adjust code to fit style -> Done
-TODO: Adapt variable names to fit style -> Done
-
-TODO: Remove np.transpose() -> Done
 TODO: Improve '_generate_cell_data'
-TODO: Introduce x-point stencil -> Done
-TODO: Allow domains different from [-1, 1] -> Done
-TODO: Ask about random value calculation in boundary interval
-TODO: Use same rules for quotes ('' vs "") -> Done
-TODO: Adapt file name -> Done
-TODO: Add print() for log output -> Done
 
 """
 

Troubled_Cell_Detector.py

@@ -2,6 +2,10 @@
 """
 @author: Laura C. Kühle, Soraya Terrab (sorayaterrab)
 
+TODO: Adapt 'train()' to fit style
+TODO: Add ANN testing from Soraya to ANN
+TODO: Add ANN classification from Soraya to ANN
+
 """
 import os
 import numpy as np
@@ -187,6 +191,13 @@ class ArtificialNeuralNetwork(TroubledCellDetector):
     def _reset(self, config):
         super()._reset(config)
 
+        # training_dir = config.pop('data_dir', 'data')
+        # training_file = config.pop('training_set', 'smooth_0.01k__troubled_0.01k__normalized.npy')
+        # validation_file = config.pop('validation_set', 'smooth_0.01k__troubled_0.01k__normalized.npy')
+        # test_file = config.pop('test_set', 'smooth_0.01k__troubled_0.01k__normalized.npy')
+        # batch_size = config.pop('batch_size', 500)
+        # self._training_data = {'train': [], 'validation': [], 'test': []}
+
     def get_cells(self, projection):
         pass