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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. |
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Vectors Factory methods for working with vectors. |
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