Removed completed TODOs.

ANN_Training.py

@@ -6,14 +6,10 @@ Code-Style: E226, W503
 Docstring-Style: D200, D400
 
 TODO: Test new ANN set-up with Soraya
-TODO: Integrate Main.py into Snakefile -> Done
-TODO: Generalize output for approximate_solution rule -> Done
 TODO: Remove object set-up (for more flexibility)
 TODO: Add documentation
 TODO: Improve log output
-TODO: Fix logs in Snakefile -> Done
 TODO: Throw exception for error due to missing classes
-TODO: Fix QObject timer error -> Done
 
 """
 import numpy as np
@@ -30,6 +26,7 @@ from Plotting import plot_classification_accuracy, plot_boxplot
 
 matplotlib.use('Agg')
 
+
 class ModelTrainer(object):
     def __init__(self, config):
         self._reset(config)

DG_Approximation.py

@@ -20,7 +20,6 @@ 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: Remove showing of plots -> Done
 
 """
 import os

Troubled_Cell_Detector.py

@@ -5,9 +5,6 @@
 TODO: Adjust TCs for wavelet detectors (sliding window over all cells instead of every second)
 TODO: Adjust Boxplot approach (adjacent cells, outer fence, etc.)
 TODO: Give detailed description of wavelet detection
-TODO: Load ANN state and config in reset -> Done
-TODO: Fix bug in output calculation -> Done
-TODO: Adapt input data so that model output equals 1 for a troubled cell -> Done
 
 """
 import numpy as np