-
Notifications
You must be signed in to change notification settings - Fork 0
muszyna25/Atmospheric-Blocking-Classification-Persistent-Homology-2D-Convolutoional-Neural-Network
Folders and files
Name | Name | Last commit message | Last commit date | |
---|---|---|---|---|
Repository files navigation
INSTRUCTION: source mySetup_nersc.source or module load tensorflow/intel-1.12.0-py36 1)====== prepare train/val/test data set mkdir out data ./format_Func2class.py It will result with simular data split, files stpred in data/ split for dom= train X (9250, 784) train Y balance:0.523 split for dom= val X (1309, 784) val Y balance:0.514 split for dom= test X (2630, 784) test Y balance:0.519 2) ======== run the training over 10 epochs ./train_Func2class.py -e 5 There are 2 designes of ML avaliable: --design cnn (default) --design lstm (runs 100 slower) 3)= = = = = Predicting based on trained model ./predict_Func2class.py
About
Atmospheric Blocking Classification: Persistent Homology + 2D Convolutoional Neural Network
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published