Removed completed TODOs.

ANN_Training.py

@@ -5,20 +5,13 @@
 Code-Style: E226, W503
 Docstring-Style: D200, D400
 
-TODO: Test new ANN set-up with Soraya
-TODO: Remove object set-up (for more flexibility) -> Done
-    (decided against it to keep easy test set-up)
 TODO: Add documentation
-TODO: Allow multiple approximations in one config -> Done
-TODO: Split workflow into multiple modules -> Done
-TODO: Remove unnecessary instance variables -> Done
-TODO: Add option to change 'num_iterations' for model testing -> Done
-TODO: Save model evaluation data -> Done
 TODO: Add README for ANN training
 TODO: Fix random seed
-TODO: Discuss whether to outsource scripts into separate directory
-TODO: Discuss whether comparison between datasets is wanted
-TODO: Discuss whether default model state is useful
+TODO: Write-protect all data and models
+TODO: Put legend outside plot (bbox_to_anchor)
+TODO: Put plotting into separate function
+TODO: Reduce number of testing epochs to 50
 
 """
 import numpy as np

DG_Approximation.py

@@ -20,6 +20,11 @@ TODO: Rename files according to standard
 TODO: Add verbose output
 TODO: Adapt TCD from Soraya (Dropbox->...->TEST_troubled-cell-detector->Troubled_Cell_Detector)
 TODO: Improve file naming (e.g. use '.' instead of '__')
+TODO: Add way of saving data (np.savez('data/' + name,
+    coefficients=projection, troubled_cells=troubled_cells) )
+TODO: Outsource scripts into separate directory
+TODO: Allow comparison between ANN training datasets
+TODO: Add a default model state
 
 """
 import os