class_docstr: Circle mean.
  
  Parameters
  ----------
  space : Manifold
      Equipped manifold.
  
  Attributes
  ----------
  estimate_ : array-like, shape=[2,]
      If fit, Frechet mean.
class_docstr_tok: ["Circle","mean",".","Parameters","--","--","--","--","--","space",":","Manifold","Equipped","manifold",".","Attributes","--","--","--","--","--","estimate_",":","array-like",",","shape=","[","2",",","]","If","fit",",","Frechet","mean","."]
code: def __init__(self, space):
      self.space = space
      self.estimate_ = None
  
imports: import abc
  import logging
  import math
  from sklearn.base import BaseEstimator
  import geomstats.backend
  import geomstats.errors
  from geomstats.geometry.discrete_curves import ElasticTranslationMetric, SRVTranslationMetric
  from geomstats.geometry.euclidean import EuclideanMetric
  from geomstats.geometry.hypersphere import HypersphereMetric
  from geomstats.geometry.matrices import MatricesMetric
  from geomstats.geometry.minkowski import MinkowskiMetric
label_desc: Use image node_id 1 to create a new CircleMean object from inherited base classes: BaseEstimator with example: obj = CircleMean(space)