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Mar 5, 2020
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git update n_jobs #16615

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9 changes: 5 additions & 4 deletions sklearn/cluster/_dbscan.py
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Expand Up @@ -83,10 +83,11 @@ def dbscan(X, eps=0.5, min_samples=5, metric='minkowski', metric_params=None,
Note that weights are absolute, and default to 1.

n_jobs : int or None, optional (default=None)
The number of parallel jobs to run for neighbors search.
``None`` means 1 unless in a :obj:`joblib.parallel_backend` context.
``-1`` means using all processors. See :term:`Glossary <n_jobs>`
for more details.
The number of parallel jobs to run for neighbors search. ``None`` means
1 unless in a :obj:`joblib.parallel_backend` context. ``-1`` means
using all processors. See :term:`Glossary <n_jobs>` for more details.
If precomputed distance are used, parallel execution is not available
and thus n_jobs will have no effect.

Returns
-------
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