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William de Vazelhes
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DOC: reformulated skggm optional dependency
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README.rst

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@@ -24,7 +24,7 @@ Metric Learning algorithms in Python.
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**Optional dependencies**
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- For SDML, convergence will be better in some cases with skggm
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- For SDML, using skggm will allow the algorithm to solve problematic cases
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(install from commit `a0ed406 <https://github.com/skggm/skggm/commit/a0ed406586c4364ea3297a658f415e13b5cbdaf8>`_).
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- For running the examples only: matplotlib
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doc/getting_started.rst

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@@ -19,7 +19,7 @@ Alternately, download the source repository and run:
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**Optional dependencies**
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- For SDML, convergence will be better in some cases with skggm
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- For SDML, using skggm will allow the algorithm to solve problematic cases
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(install from commit `a0ed406 <https://github.com/skggm/skggm/commit/a0ed406586c4364ea3297a658f415e13b5cbdaf8>`_).
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- For running the examples only: matplotlib
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