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