code: def __init__(
      self,
      n_neighbors=5,
      radius=1.0,
      algorithm="auto",
      leaf_size=30,
      metric="minkowski",
      p=2,
      metric_params=None,
      **kwargs,
  ):
      super().__init__(
          n_neighbors=n_neighbors,
          radius=radius,
          algorithm=algorithm,
          leaf_size=leaf_size,
          metric=metric,
          p=p,
          metric_params=metric_params,
          **kwargs,
      )
  
file_path: mars/mars/learn/neighbors/unsupervised.py
imports: from .base import NeighborsBase
  from .base import KNeighborsMixin
  from .base import UnsupervisedMixin
label_desc: Use image node_id 1 to create a new NearestNeighbors object from inherited base classes: NeighborsBase, KNeighborsMixin, UnsupervisedMixin with example: obj = NearestNeighbors(n_neighbors, radius, algorithm, leaf_size, metric, p, metric_params)