Save and load SOM
Save and load SOM#
A last feature of this SOM implementation is that the it can be saved at any moment and loaded back again. This is easily done using the write() method
som.write('som_save')
The SOM can be loaded back at any time later on using the read() method
newsom = SOM.read('som_save')
print('BMUs for train data:')
print(som.train_bmus_)
print('\nBMUs for train data loaded from file:')
print(newsom.train_bmus_)
Results
BMUs for train data:
[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0
0 0 1 1 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 1 2 1 2 2 0 2 2 2 1
1 2 0 1 1 1 2 2 1 2 0 2 1 2 2 1 1 1 2 2 2 1 1 1 2 1 1 0 2]
BMUs for train data loaded from file:
[0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0
0 0 1 1 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 2 1 2 1 2 2 0 2 2 2 1
1 2 0 1 1 1 2 2 1 2 0 2 1 2 2 1 1 1 2 2 2 1 1 1 2 1 1 0 2]