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- import keras
- from functools import partial
- from multiprocessing import Pool
- def ModelFunc(i,SomeData):
- YourModel = Here
- return(ModelScore)
- pool = Pool(processes = 4)
- for i,Score in enumerate(pool.imap(partial(ModelFunc,SomeData),range(4))):
- print(Score)
- from functools import partial
- from multiprocessing import Pool
- def ModelFunc(i,SomeData):
- import keras
- YourModel = Here
- return(ModelScore)
- pool = Pool(processes = 4)
- for i,Score in enumerate(pool.imap(partial(ModelFunc,SomeData),range(4))):
- print(Score)
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