mclda.py

from multiprocessing import Process
import numpy as np
import modshogun

trainData = np.random.randn(294, 1605)
labels = np.random.randint(0, 2, 1605).astype('float64')

def f():
    model = modshogun.MCLDA(modshogun.RealFeatures(trainData),modshogun.MulticlassLabels(labels))
    model.train()

print("Training...", end='', flush=True)
f()
print("done.")

print("Spawning process ", end='', flush=True)
p = Process(target=f)
p.start()
print("(%i)..." % p.pid, end='', flush=True)
p.join()
print("done.")