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‎README.md‎

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### Optional dependencies
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* **pynndescent.** For efficient approximate k-nearest neighbor computation on sparse
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matrices.
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* **pynndescent**: For efficient k-nearest neighbor computation on sparse
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matrices. In the majority of cases this is not needed.
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## Getting started
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Getting started with PyMDE is easy. For embeddings that work out-of-the box, we provide two main functions:

‎docs_src/source/installation/index.rst‎

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---------------------
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* **pynndescent**: For efficient k-nearest neighbor computation on sparse
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matrices. Without it, sparse data is converted to a dense matrix before
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computing neighbors. For very large sparse matrices the conversion can be
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memory-intensive.
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matrices. In the majority of cases this is not needed.
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.. code::
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pip install pynndescent
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GPU acceleration
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----------------

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