38 lines
1.3 KiB
Python
38 lines
1.3 KiB
Python
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"""
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The :mod:`sklearn.neighbors` module implements the k-nearest neighbors
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algorithm.
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"""
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from ._ball_tree import BallTree
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from ._kd_tree import KDTree
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from ._dist_metrics import DistanceMetric
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from ._graph import kneighbors_graph, radius_neighbors_graph
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from ._graph import KNeighborsTransformer, RadiusNeighborsTransformer
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from ._unsupervised import NearestNeighbors
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from ._classification import KNeighborsClassifier, RadiusNeighborsClassifier
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from ._regression import KNeighborsRegressor, RadiusNeighborsRegressor
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from ._nearest_centroid import NearestCentroid
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from ._kde import KernelDensity
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from ._lof import LocalOutlierFactor
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from ._nca import NeighborhoodComponentsAnalysis
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from ._base import VALID_METRICS, VALID_METRICS_SPARSE
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__all__ = ['BallTree',
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'DistanceMetric',
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'KDTree',
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'KNeighborsClassifier',
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'KNeighborsRegressor',
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'KNeighborsTransformer',
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'NearestCentroid',
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'NearestNeighbors',
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'RadiusNeighborsClassifier',
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'RadiusNeighborsRegressor',
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'RadiusNeighborsTransformer',
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'kneighbors_graph',
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'radius_neighbors_graph',
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'KernelDensity',
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'LocalOutlierFactor',
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'NeighborhoodComponentsAnalysis',
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'VALID_METRICS',
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'VALID_METRICS_SPARSE']
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