ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()

[albertyou2]

hi @mynameisfiber

when i had prepared my data and fit, I got an error:

[2016-12-23 16:04:08,914] INFO - fit:35: Fitting with k=15
[2016-12-23 16:04:13,686] INFO - fit:47: Splitting cluster 1 / 15 (k=0)
[2016-12-23 16:04:13,686] INFO - fit:55: Running secondary kmeans
/home/sojoyoo/image_clustering_japan/xmeans.py:135: FutureWarning: elementwise comparison failed; returning scalar instead, but in the future will perform elementwise comparison
if centroids in ('kmeans++', 'random'):
Traceback (most recent call last):
File "clustering_kmeans.py", line 60, in
mxmt = XMeans(15, verbose=True).fit(data)
File "/home/sojoyoo/image_clustering_japan/xmeans.py", line 61, in fit
test_model = self._fit(2, points, np.asarray([new_point1, new_point2]))
File "/home/sojoyoo/image_clustering_japan/xmeans.py", line 146, in _fit
).fit(data[:])
File "/home/sojoyoo/image_clustering_japan/mini_batch.py", line 109, in fit
if self.init == 'random':
ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()

data shape is (157,4096),python is 2.7.
Do you have any idea to handle this?