From fdbab2c1cf4b5e9dfefd7ba9671dda15e1e5d06f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?K=C3=BChle=2C=20Laura=20Christine=20=28lakue103=29?=
<laura.kuehle@uni-duesseldorf.de>
Date: Thu, 20 Jan 2022 18:40:03 +0100
Subject: [PATCH] Removed completed TODOs.
---
ANN_Training.py | 5 +----
DG_Approximation.py | 1 -
Troubled_Cell_Detector.py | 3 ---
3 files changed, 1 insertion(+), 8 deletions(-)
diff --git a/ANN_Training.py b/ANN_Training.py
index 79131b8..7420fb7 100644
--- a/ANN_Training.py
+++ b/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)
diff --git a/DG_Approximation.py b/DG_Approximation.py
index a4114a3..1785e79 100644
--- a/DG_Approximation.py
+++ b/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
diff --git a/Troubled_Cell_Detector.py b/Troubled_Cell_Detector.py
index 45fcd42..0dd15ec 100644
--- a/Troubled_Cell_Detector.py
+++ b/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
--
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