class_docstr: Class for the manifold of binomial distributions.
  
  This is the parameter space of binomial distributions
  i.e. the half-line of positive reals.
class_docstr_tok: ["Class","for","the","manifold","of","binomial","distributions",".","This","is","the","parameter","space","of","binomial","distributions","i.e",".","the","half-line","of","positive","reals","."]
code: def __init__(self, n_draws, equip=True):
      super().__init__(
          dim=1,
          support_shape=(),
          embedding_space=Euclidean(dim=1, equip=False),
          equip=equip,
      )
      self.n_draws = n_draws
      self._scp_rv = BinomialDistributionsRandomVariable(self)
  
imports: from scipy.special import factorial
  from scipy.stats import binom
  import geomstats.backend
  from geomstats.geometry.base import VectorSpaceOpenSet
  from geomstats.geometry.euclidean import Euclidean
  from geomstats.geometry.riemannian_metric import RiemannianMetric
  from geomstats.information_geometry.base import InformationManifoldMixin, ScipyUnivariateRandomVariable
label_desc: Use image node_id 1 to create a new BinomialDistributions object from inherited base classes: InformationManifoldMixin, VectorSpaceOpenSet with example: obj = BinomialDistributions(n_draws, equip)