LARS segfault

gistfile1.py

from numpy.ma.core import reshape, mean
from shogun.Features import RegressionLabels, RealFeatures
from shogun.Regression import LeastAngleRegression, LinearRidgeRegression, LeastSquaresRegression
from shogun.Evaluation import CrossValidation, CrossValidationResult, \
    CrossValidationSplitting, MeanSquaredError
import time

n=250
n_class=6
dim=274 * 100 * 12
feats=randn(dim, n)
lab=randint(0,n_class, n)

# normalise
lab_mean=mean(lab)
lab=lab-lab_mean
feats=(feats.T-mean(feats,1)).T

features = RealFeatures(feats)
labels = RegressionLabels(lab)

lars = LeastAngleRegression()
lars.set_labels(labels)

time_start=time.time()
lars.train(RealFeatures(features))
time_end=time.time()
print "time", time_end-time_start