class_docstr: Class for the manifold of categorical distributions.
  
  This is the set of `n+1`-tuples of positive reals that sum up to one,
  i.e. the `n`-simplex. Each point is the parameter of a categorical
  distribution, i.e. gives the probabilities of $n$ different outcomes
  in a single experiment.
  
  Attributes
  ----------
  dim : int
      Dimension of the manifold of categorical distributions. The
      number of outcomes is dim + 1.
  embedding_manifold : Manifold
      Embedding manifold.
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code: def __init__(self, dim, equip=True):
      super().__init__(dim=dim, n_draws=1, equip=equip)
  
imports: from geomstats.information_geometry.multinomial import MultinomialDistributions, MultinomialMetric
label_desc: Use image node_id 1 to create a new CategoricalDistributions object from inherited base classes: MultinomialDistributions with example: obj = CategoricalDistributions(dim, equip)