Deep Learning Workshop

@@ -18,13 +18,14 @@
 
 # LAVIS
 # qlogin
+# cd /mnt/Genoma/amedina/cmendez/gitlab-deep-learning-workshop/data-sets
 # python get-hga-training-test-py27-v1.py
 # --inputFile hga-sequences-1000.txt
 # --inputPath /mnt/Genoma/amedina/cmendez/gitlab-deep-learning-workshop/data-sets/human-genome-annotation
 # --outputTraining hga-sequences-training.txt
 # --outputTest hga-sequences-test.txt
 # --outputPath /mnt/Genoma/amedina/cmendez/gitlab-deep-learning-workshop/data-sets/human-genome-annotation
-# python get-hga-training-test-py27-v1.py --inputFile hga-sequences-toy.txt --inputPath /mnt/Genoma/amedina/cmendez/gitlab-deep-learning-workshop/data-sets/human-genome-annotation --outputTraining hga-sequences-training.txt --outputTest hga-sequences-test.txt --outputPath /mnt/Genoma/amedina/cmendez/gitlab-deep-learning-workshop/data-sets/human-genome-annotation
+# python get-hga-training-test-py27-v1.py --inputFile hga-sequences-1000.txt --inputPath /mnt/Genoma/amedina/cmendez/gitlab-deep-learning-workshop/data-sets/human-genome-annotation --outputTraining hga-sequences-training.txt --outputTest hga-sequences-test.txt --outputPath /mnt/Genoma/amedina/cmendez/gitlab-deep-learning-workshop/data-sets/human-genome-annotation
 
 import argparse
 import pandas as pd
@@ -148,7 +149,7 @@ if __name__ == "__main__":
                      input_shape=(train_features.shape[1], 5)))
     # Original: model.add(MaxPooling1D(pool_size=4))
     # Do we have to change to 5, because of the 5 nucleotides?
-    model.add(MaxPooling1D(pool_size=4))
+    model.add(MaxPooling1D(pool_size=5))
     model.add(Flatten())
     model.add(Dense(16, activation='relu'))
     model.add(Dense(2, activation='softmax'))