I want to process data faster with the JAVA base machine learning app: MOA, so I split my data into many small batches, so the input =[[a,b,c],[d,e,f],...]. for each input I want to process them parallel. Can I use multiprocess's Pool for that?
def batch_process(input):
...some pandas processing
// p = Pool(1000)
// map to subprocess, can I do that??
subprocess.run(...)
...