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)

__init__(n_neighbors=5, radius=1.0, algorithm='auto', leaf_size=30, metric='minkowski', p=2, metric_params=None, **kwargs)

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.