class_docstr: Class for the manifold of multinomial 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 multinomial
  distribution, i.e. gives the probabilities of $n$ different outcomes
  in a single experiment.
  
  Attributes
  ----------
  dim : int
      Dimension of the parameter manifold of multinomial distributions.
      The number of outcomes is dim + 1.
  embedding_manifold : Manifold
      Embedding manifold.
docstr: Compute pdf associated to point.
  
  Compute the probability density function of the Multinomial
  distribution with parameters provided by point.
  
  Parameters
  ----------
  point : array-like, shape=[..., dim]
      Point representing a beta distribution.
  
  Returns
  -------
  pdf : function
      (Discrete) probability density function.
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code: def point_to_pdf(self, point):
      """Compute pdf associated to point.
  
      Compute the probability density function of the Multinomial
      distribution with parameters provided by point.
  
      Parameters
      ----------
      point : array-like, shape=[..., dim]
          Point representing a beta distribution.
  
      Returns
      -------
      pdf : function
          (Discrete) probability density function.
      """
      return lambda x: self._scp_rv.pdf(x, point=point)
  
imports: from scipy.stats import dirichlet, multinomial
  import geomstats.backend
  from geomstats.algebra_utils import from_vector_to_diagonal_matrix
  from geomstats.geometry.base import LevelSet
  from geomstats.geometry.euclidean import Euclidean
  from geomstats.geometry.hypersphere import Hypersphere
  from geomstats.geometry.riemannian_metric import RiemannianMetric
  from geomstats.information_geometry.base import InformationManifoldMixin, ScipyMultivariateRandomVariable
  from geomstats.vectorization import repeat_out
label_desc: Use image node_id 10 for calling the MultinomialDistributions obj's underlying member method code with example usage: obj.point_to_pdf(point) and returns: function