Update Pilot1 to use candle_lib

Author: jmohdyusof

Pilot1/Attn/attn.py

@@ -8,8 +8,6 @@
 import numpy as np
 
 file_path = os.path.dirname(os.path.realpath(__file__))
-lib_path2 = os.path.abspath(os.path.join(file_path, '..', '..', 'common'))
-sys.path.append(lib_path2)
 
 import candle
 

Pilot1/Combo/NCI60.py

@@ -2,7 +2,6 @@
 
 import collections
 import os
-import sys
 
 import numpy as np
 import pandas as pd
@@ -14,8 +13,6 @@
 from sklearn.preprocessing import StandardScaler, MinMaxScaler, MaxAbsScaler
 
 file_path = os.path.dirname(os.path.realpath(__file__))
-lib_path = os.path.abspath(os.path.join(file_path, '..', '..', 'common'))
-sys.path.append(lib_path)
 
 import candle
 

Pilot1/Combo/combo.py

@@ -1,12 +1,9 @@
 from __future__ import print_function
 
 import os
-import sys
 import logging
 
 file_path = os.path.dirname(os.path.realpath(__file__))
-lib_path2 = os.path.abspath(os.path.join(file_path, '..', '..', 'common'))
-sys.path.append(lib_path2)
 
 import candle
 

Pilot1/NT3/nt3.py

@@ -1,9 +1,6 @@
 import os
-import sys
 
 file_path = os.path.dirname(os.path.realpath(__file__))
-lib_path2 = os.path.abspath(os.path.join(file_path, '..', '..', 'common'))
-sys.path.append(lib_path2)
 
 import candle
 

Pilot1/NT3/nt3_baseline_keras2_tensorrt.py

@@ -2,7 +2,6 @@
 import pandas as pd
 import numpy as np
 import os
-import sys
 
 from tensorflow.keras import backend as K
 from tensorflow.keras.layers import Dense, Dropout, Activation, Conv1D, MaxPooling1D, Flatten, LocallyConnected1D
@@ -14,10 +13,6 @@
 
 TIMEOUT = 3600  # in sec; set this to -1 for no timeout
 file_path = os.path.dirname(os.path.realpath(__file__))
-lib_path = os.path.abspath(os.path.join(file_path, '..', 'common'))
-sys.path.append(lib_path)
-lib_path2 = os.path.abspath(os.path.join(file_path, '..', '..', 'common'))
-sys.path.append(lib_path2)
 
 import nt3 as bmk
 import candle

Pilot1/P1B1/p1b1.py

@@ -1,7 +1,6 @@
 from __future__ import print_function
 
 import os
-import sys
 import logging
 
 import pandas as pd
@@ -11,8 +10,6 @@
 from scipy.stats.stats import pearsonr
 
 file_path = os.path.dirname(os.path.realpath(__file__))
-lib_path2 = os.path.abspath(os.path.join(file_path, '..', '..', 'common'))
-sys.path.append(lib_path2)
 
 import candle
 

Pilot1/P1B2/p1b2.py

@@ -5,14 +5,9 @@
 from sklearn.metrics import accuracy_score
 
 import os
-import sys
 import logging
 
 file_path = os.path.dirname(os.path.realpath(__file__))
-lib_path = os.path.abspath(os.path.join(file_path, '..', 'common'))
-sys.path.append(lib_path)
-lib_path2 = os.path.abspath(os.path.join(file_path, '..', '..', 'common'))
-sys.path.append(lib_path2)
 
 import candle
 

Pilot1/P1B3/p1b3.py

@@ -18,10 +18,6 @@
 from sklearn.preprocessing import StandardScaler, MinMaxScaler, MaxAbsScaler
 
 file_path = os.path.dirname(os.path.realpath(__file__))
-lib_path = os.path.abspath(os.path.join(file_path, '..'))
-sys.path.append(lib_path)
-lib_path2 = os.path.abspath(os.path.join(file_path, '..', '..', 'common'))
-sys.path.append(lib_path2)
 
 import candle
 

Pilot1/T29/infer.py

@@ -1,7 +1,6 @@
 import pandas as pd
 import numpy as np
 import os
-import sys
 from tensorflow import keras as ke
 from tensorflow.keras.models import model_from_json
 from tensorflow.keras.utils import to_categorical
@@ -10,8 +9,6 @@
 file_path = os.path.dirname(os.path.realpath(__file__))
 
 # candle
-lib_path2 = os.path.abspath(os.path.join(file_path, '..', '..', 'common'))
-sys.path.append(lib_path2)
 import candle
 
 

Pilot1/T29/t29res.py

@@ -1,7 +1,6 @@
 import pandas as pd
 import numpy as np
 import os
-import sys
 import matplotlib
 matplotlib.use('Agg')
 import matplotlib.pyplot as plt
@@ -18,8 +17,7 @@
 
 # candle
 file_path = os.path.dirname(os.path.realpath(__file__))
-lib_path2 = os.path.abspath(os.path.join(file_path, '..', '..', 'common'))
-sys.path.append(lib_path2)
+
 import candle