a95b806a73
- Parallel util for partitioners
33 lines
919 B
Python
33 lines
919 B
Python
from copy import deepcopy
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from joblib import Parallel, delayed
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import multiprocessing
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import numpy as np
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from pyFTS.common import Membership, Util
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from pyFTS.partitioners import Grid,Huarng,FCM,Entropy
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from pyFTS.partitioners import Util
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def explore_partitioners(data, npart, methods=None, mf=None, tam=[12, 10], save=False, file=None):
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all_methods = [Grid.GridPartitioner, Entropy.EntropyPartitioner, FCM.FCMPartitioner]
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mfs = [Membership.trimf, Membership.gaussmf, Membership.trapmf]
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if methods is None:
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methods = all_methods
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if mf is None:
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mf = mfs
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num_cores = multiprocessing.cpu_count()
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objs = []
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for method in methods:
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print(str(method))
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tmp = Parallel(n_jobs=num_cores)(delayed(method)(deepcopy(data), npart, m) for m in mf)
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objs.append(tmp)
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objs = np.ravel(objs).tolist()
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Util.plot_partitioners(data, objs, tam, save, file)
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