8000 DOC Specify the meaning of default=None in cluster module by alfaro96 · Pull Request #17533 · scikit-learn/scikit-learn · GitHub
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DOC Specify the meaning of default=None in cluster module #17533

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Jun 9, 2020
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DOC Specify the meaning of default=None in cluster module #17533

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3 changes: 2 additions & 1 deletion sklearn/cluster/_dbscan.py
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Expand Up @@ -199,7 +199,8 @@ class DBSCAN(ClusterMixin, BaseEstimator):

p : float, default=None
The power of the Minkowski metric to be used to calculate distance
between points.
between points. If None, then ``p=2`` (equivalent to the Euclidean
distance).

n_jobs : int, default=None
The number of parallel jobs to run.
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6 changes: 4 additions & 2 deletions sklearn/cluster/_spectral.py
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Expand Up @@ -194,7 +194,8 @@ def spectral_clustering(affinity, *, n_clusters=8, n_components=None,
eigen_solver : {None, 'arpack', 'lobpcg', or 'amg'}
The eigenvalue decomposition strategy to use. AMG requires pyamg
to be installed. It can be faster on very large, sparse problems,
but may also lead to instabilities
but may also lead to instabilities. If None, then ``'arpack'`` is
used.

random_state : int, RandomState instance, default=None
A pseudo random number generator used for the initialization of the
Expand Down Expand Up @@ -307,7 +308,8 @@ class SpectralClustering(ClusterMixin, BaseEstimator):
eigen_solver : {None, 'arpack', 'lobpcg', or 'amg'}
The eigenvalue decomposition strategy to use. AMG requires pyamg
to be installed. It can be faster on very large, sparse problems,
but may also lead to instabilities.
but may also lead to instabilities. If None, then ``'arpack'`` is
used.

n_components : integer, optional, default=n_clusters
Number of eigen vectors to use for the spectral embedding
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4 changes: 3 additions & 1 deletion sklearn/manifold/_spectral_embedding.py
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Expand Up @@ -168,7 +168,8 @@ def spectral_embedding(adjacency, *, n_components=8, eigen_solver=None,
eigen_solver : {None, 'arpack', 'lobpcg', or 'amg'}, default None
The eigenvalue decomposition strategy to use. AMG requires pyamg
to be installed. It can be faster on very large, sparse problems,
but may also lead to instabilities.
but may also lead to instabilities. If None, then ``'arpack'`` is
used.

random_state : int, RandomState instance, default=None
Determines the random number generator used for the initialization of
Expand Down Expand Up @@ -394,6 +395,7 @@ class SpectralEmbedding(BaseEstimator):
eigen_solver : {None, 'arpack', 'lobpcg', or 'amg'}
The eigenvalue decomposition strategy to use. AMG requires pyamg
to be installed. It can be faster on very large, sparse problems.
If None, then ``'arpack'`` is used.

n_neighbors : int, default : max(n_samples/10 , 1)
Number of nearest neighbors for nearest_neighbors graph building.
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