msm_assignments in the example is giving error

[MidhunkMadhu]

msm_assignments = pipeline.fit_transform(trajectories) Traceback (most recent call last): File "", line 1, in File "/home/midhun/anaconda2/envs/py36/lib/python3.6/site-packages/sklearn/pipeline.py", line 298, in fit_transform Xt, fit_params = self._fit(X, y, **fit_params) File "/home/midhun/anaconda2/envs/py36/lib/python3.6/site-packages/sklearn/pipeline.py", line 230, in fit **fit_params_steps[name]) File "/home/midhun/anaconda2/envs/py36/lib/python3.6/site-packages/sklearn/externals/joblib/memory.py", line 329, in call return self.func(*args, **kwargs) File "/home/midhun/anaconda2/envs/py36/lib/python3.6/site-packages/sklearn/pipeline.py", line 614, in fit_transform_one res = transformer.fit_transform(X, y, **fit_params) File "/home/midhun/anaconda2/envs/py36/lib/python3.6/site-packages/msmbuilder/cluster/base.py", line 173, in fit_transform return self.fit_predict(sequences, y) File "/home/midhun/anaconda2/envs/py36/lib/python3.6/site-packages/msmbuilder/cluster/base.py", line 154, in fit_predict labels = super(MultiSequenceClusterMixin, self).fit_predict(sequences) File "/home/midhun/anaconda2/envs/py36/lib/python3.6/site-packages/sklearn/cluster/k_means.py", line 994, in fit_predict return self.fit(X, sample_weight=sample_weight).labels TypeError: fit() got an unexpected keyword argument 'sample_weight'

What is this error, how can I resolve it?