42 lines
1.3 KiB
Python
42 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 ._distance_metric 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 sort_graph_by_row_values
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from ._base import VALID_METRICS, VALID_METRICS_SPARSE
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__all__ = [
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"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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"sort_graph_by_row_values",
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"VALID_METRICS",
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"VALID_METRICS_SPARSE",
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]
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