mars.learn.neighbors.NearestNeighbors#
- class mars.learn.neighbors.NearestNeighbors(n_neighbors=5, radius=1.0, algorithm='auto', leaf_size=30, metric='minkowski', p=2, metric_params=None, **kwargs)[源代码]#
- __init__(n_neighbors=5, radius=1.0, algorithm='auto', leaf_size=30, metric='minkowski', p=2, metric_params=None, **kwargs)[源代码]#
Methods
__init__
([n_neighbors, radius, algorithm, ...])fit
(X[, y, session, run_kwargs])Fit the model using X as training data
get_params
([deep])Get parameters for this estimator.
kneighbors
([X, n_neighbors, ...])Finds the K-neighbors of a point.
kneighbors_graph
([X, n_neighbors, mode, ...])Computes the (weighted) graph of k-Neighbors for points in X
set_params
(**params)Set the parameters of this estimator.