Resolved conflicts

main.py

@@ -2,7 +2,7 @@ from config import config
 from ensemble import run
 import numpy as np
 import scipy
-from utils.utils import select_best_model, comparison_plot
+from utils.utils import select_best_model, comparison_plot_accuracy, comparison_plot_loss
 from utils import IOHelper
 from scipy import io
 import h5py
@@ -20,15 +20,15 @@ def main():
     # try:
     trainX, trainY = IOHelper.get_mat_data(config['data_dir'], verbose=True)
 
-    if config['model'] == 'eegnet' or config['model'] == 'eegnet_cluster':
-        trainX = np.transpose(trainX, (0, 2, 1))
-        logging.info(trainX.shape)
+    # if config['model'] == 'eegnet' or config['model'] == 'eegnet_cluster':
+    #    trainX = np.transpose(trainX, (0, 2, 1))
+    #     logging.info(trainX.shape)
 
     # tune(trainX,trainY)
 
     run(trainX,trainY)
     # select_best_model()
-    # comparison_plot()
+    # comparison_plot_loss()
 
     logging.info("--- Runtime: %s seconds ---" % (time.time() - start_time))
     logging.info('Finished Logging')

results/ETRA/cnn_ensemble/batches.log

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results/ETRA/cnn_ensemble/info.log

+INFO:root:Started the Logging
+INFO:root:X training loaded.
+INFO:root:(129, 500, 36223)
+INFO:root:y training loaded.
+INFO:root:(1, 36223)
+INFO:root:Setting the shapes
+INFO:root:(36223, 500, 129)
+INFO:root:(36223, 1)
+INFO:root:Started running cnn. If you want to run other methods please choose another model in the config.py file.
+INFO:root:Parameters: 
+INFO:root:--------------- use residual : True
+INFO:root:--------------- depth        : 12
+INFO:root:--------------- batch size   : 64
+INFO:root:--------------- kernel size  : 64
+INFO:root:--------------- nb filters   : 16
+INFO:root:--------------- preprocessing: False
+INFO:root:Parameters: 
+INFO:root:--------------- use residual : True
+INFO:root:--------------- depth        : 12
+INFO:root:--------------- batch size   : 64
+INFO:root:--------------- kernel size  : 64
+INFO:root:--------------- nb filters   : 16
+INFO:root:--------------- preprocessing: False
+INFO:root:Parameters: 
+INFO:root:--------------- use residual : True
+INFO:root:--------------- depth        : 12
+INFO:root:--------------- batch size   : 64
+INFO:root:--------------- kernel size  : 64
+INFO:root:--------------- nb filters   : 16
+INFO:root:--------------- preprocessing: False
+INFO:root:Parameters: 
+INFO:root:--------------- use residual : True
+INFO:root:--------------- depth        : 12
+INFO:root:--------------- batch size   : 64
+INFO:root:--------------- kernel size  : 64
+INFO:root:--------------- nb filters   : 16
+INFO:root:--------------- preprocessing: False
+INFO:root:Parameters: 
+INFO:root:--------------- use residual : True
+INFO:root:--------------- depth        : 12
+INFO:root:--------------- batch size   : 64
+INFO:root:--------------- kernel size  : 64
+INFO:root:--------------- nb filters   : 16
+INFO:root:--------------- preprocessing: False
+INFO:root:**********
+
+INFO:root:--- Runtime: 4655.170459032059 seconds ---
+INFO:root:Finished Logging

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results/ETRA/inception_ensemble/info.log

+INFO:root:Started the Logging
+INFO:root:X training loaded.
+INFO:root:(129, 500, 36223)
+INFO:root:y training loaded.
+INFO:root:(1, 36223)
+INFO:root:Setting the shapes
+INFO:root:(36223, 500, 129)
+INFO:root:(36223, 1)
+INFO:root:Started running inception. If you want to run other methods please choose another model in the config.py file.
+INFO:root:Parameters: 
+INFO:root:--------------- use residual : True
+INFO:root:--------------- depth        : 12
+INFO:root:--------------- batch size   : 64
+INFO:root:--------------- kernel size  : 64
+INFO:root:--------------- nb filters   : 16
+INFO:root:--------------- preprocessing: False
+INFO:root:--------------- bottleneck_size : 16
+INFO:root:Parameters: 
+INFO:root:--------------- use residual : True
+INFO:root:--------------- depth        : 12
+INFO:root:--------------- batch size   : 64
+INFO:root:--------------- kernel size  : 64
+INFO:root:--------------- nb filters   : 16
+INFO:root:--------------- preprocessing: False
+INFO:root:--------------- bottleneck_size : 16
+INFO:root:Parameters: 
+INFO:root:--------------- use residual : True
+INFO:root:--------------- depth        : 12
+INFO:root:--------------- batch size   : 64
+INFO:root:--------------- kernel size  : 64
+INFO:root:--------------- nb filters   : 16
+INFO:root:--------------- preprocessing: False
+INFO:root:--------------- bottleneck_size : 16
+INFO:root:Parameters: 
+INFO:root:--------------- use residual : True
+INFO:root:--------------- depth        : 12
+INFO:root:--------------- batch size   : 64
+INFO:root:--------------- kernel size  : 64
+INFO:root:--------------- nb filters   : 16
+INFO:root:--------------- preprocessing: False
+INFO:root:--------------- bottleneck_size : 16
+INFO:root:Parameters: 
+INFO:root:--------------- use residual : True
+INFO:root:--------------- depth        : 12
+INFO:root:--------------- batch size   : 64
+INFO:root:--------------- kernel size  : 64
+INFO:root:--------------- nb filters   : 16
+INFO:root:--------------- preprocessing: False
+INFO:root:--------------- bottleneck_size : 16
+INFO:root:**********
+
+INFO:root:--- Runtime: 10901.414864778519 seconds ---
+INFO:root:Finished Logging