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| Current File : //proc/thread-self/root/usr/local/lib/python3.8/dist-packages/sklearn/neighbors/__init__.py |
"""
The :mod:`sklearn.neighbors` module implements the k-nearest neighbors
algorithm.
"""
from ._ball_tree import BallTree
from ._kd_tree import KDTree
from ._dist_metrics import DistanceMetric
from ._graph import kneighbors_graph, radius_neighbors_graph
from ._graph import KNeighborsTransformer, RadiusNeighborsTransformer
from ._unsupervised import NearestNeighbors
from ._classification import KNeighborsClassifier, RadiusNeighborsClassifier
from ._regression import KNeighborsRegressor, RadiusNeighborsRegressor
from ._nearest_centroid import NearestCentroid
from ._kde import KernelDensity
from ._lof import LocalOutlierFactor
from ._nca import NeighborhoodComponentsAnalysis
from ._base import VALID_METRICS, VALID_METRICS_SPARSE
__all__ = ['BallTree',
'DistanceMetric',
'KDTree',
'KNeighborsClassifier',
'KNeighborsRegressor',
'KNeighborsTransformer',
'NearestCentroid',
'NearestNeighbors',
'RadiusNeighborsClassifier',
'RadiusNeighborsRegressor',
'RadiusNeighborsTransformer',
'kneighbors_graph',
'radius_neighbors_graph',
'KernelDensity',
'LocalOutlierFactor',
'NeighborhoodComponentsAnalysis',
'VALID_METRICS',
'VALID_METRICS_SPARSE']