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MAINT Parameters validation for mean_shift() #25684

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Merged
merged 4 commits into from
Feb 24, 2023
Merged

MAINT Parameters validation for mean_shift() #25684

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28c54b9
validate params for mean_shift()
Feb 23, 2023
784a59e
iterations
Feb 23, 2023
4eb4b72
fixed linting yay
Feb 23, 2023
e154d87
rephrase
jeremiedbb Feb 24, 2023
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5 changes: 3 additions & 2 deletions sklearn/cluster/_mean_shift.py
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Original file line number Diff line number Diff line change
Expand Up @@ -119,6 +119,7 @@ def _mean_shift_single_seed(my_mean, X, nbrs, max_iter):
return tuple(my_mean), len(points_within), completed_iterations


@validate_params({"X": ["array-like"]})
def mean_shift(
X,
*,
Expand All @@ -141,9 +142,9 @@ def mean_shift(
Input data.

bandwidth : float, default=None
Kernel bandwidth.
Kernel bandwidth. If not None, must be in the range [0, +inf).

If bandwidth is not given, it is determined using a heuristic based on
If None, the bandwidth is determined using a heuristic based on
the median of all pairwise distances. This will take quadratic time in
the number of samples. The sklearn.cluster.estimate_bandwidth function
can be used to do this more efficiently.
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1 change: 1 addition & 0 deletions sklearn/tests/test_public_functions.py
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Expand Up @@ -155,6 +155,7 @@ def test_function_param_validation(func_module):

PARAM_VALIDATION_CLASS_WRAPPER_LIST = [
("sklearn.cluster.affinity_propagation", "sklearn.cluster.AffinityPropagation"),
("sklearn.cluster.mean_shift", "sklearn.cluster.MeanShift"),
("sklearn.cluster.spectral_clustering", "sklearn.cluster.SpectralClustering"),
("sklearn.covariance.ledoit_wolf", "sklearn.covariance.LedoitWolf"),
("sklearn.covariance.oas", "sklearn.covariance.OAS"),
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