lightning multiprocessing failure in python 3.6

check.py

import sys
import numpy as np
import sklearn
import lightning

print("python", sys.version)
print("numpy", np.__version__)
print("scikit-learn", sklearn.__version__)
print("lightning", lightning.__version__)

from sklearn.datasets import load_digits
from sklearn.model_selection import cross_val_score
from lightning.classification import CDClassifier

X, y = load_digits(return_X_y=True)

print("Fitting CDClassifier")

try:
    CDClassifier(n_jobs=-1).fit(X, y)
    print("succeeded")
except Exception as e:
    print("failed", e)

print("running cross-val score")
try:
    cross_val_score(CDClassifier(), X, y, n_jobs=-1)
    print("succeeded")
except Exception as e:
    print("failed", e)

py35.txt

python 3.5.3 |Continuum Analytics, Inc.| (default, Mar  6 2017, 11:58:13) 
[GCC 4.4.7 20120313 (Red Hat 4.4.7-1)]
numpy 1.12.1
scikit-learn 0.18.1
lightning 0.4.0
Fitting CDClassifier
succeeded
running cross-val score
succeeded

py36.txt

python 3.6.1 | packaged by conda-forge | (default, May 23 2017, 14:16:20) 
[GCC 4.8.2 20140120 (Red Hat 4.8.2-15)]
numpy 1.12.1
scikit-learn 0.18.1
lightning 0.4.0
Fitting CDClassifier
failed can't pickle lightning.impl.primal_cd_fast.SquaredHinge objects
running cross-val score
succeeded