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MLlib utilities for linear algebra. For dense vectors, MLlib uses the 
  NumPy array type, so you can simply pass NumPy arrays 
  around. For sparse vectors, users can construct a SparseVector object from MLlib or pass SciPy 
  scipy.sparse column vectors if SciPy is available in their 
  environment.
| Classes | |
| SparseVector A simple sparse vector class for passing data to MLlib. | |
| Vectors Factory methods for working with vectors. | |
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