class_docstr: Class for the manifold of full-rank correlation matrices.
  
  Parameters
  ----------
  n : int
      Integer representing the shape of the matrices: n x n.
docstr: Sample full-rank correlation matrices by projecting random SPD mats.
  
  Parameters
  ----------
  n_samples : int
      Number of samples.
  bound : float
      Bound of the interval in which to sample.
      Optional, default: 1.
  
  Returns
  -------
  cor : array-like, shape=[n_samples, n, n]
      Sample of full-rank correlation matrices.
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code: def random_point(self, n_samples=1, bound=1.0):
      """Sample full-rank correlation matrices by projecting random SPD mats.
  
      Parameters
      ----------
      n_samples : int
          Number of samples.
      bound : float
          Bound of the interval in which to sample.
          Optional, default: 1.
  
      Returns
      -------
      cor : array-like, shape=[n_samples, n, n]
          Sample of full-rank correlation matrices.
      """
      spd = self.embedding_space.random_point(n_samples, bound=bound)
      return self.from_covariance(spd)
  
imports: import geomstats.backend
  from geomstats.geometry.base import LevelSet
  from geomstats.geometry.diffeo import ComposedDiffeo
  from geomstats.geometry.fiber_bundle import FiberBundle
  from geomstats.geometry.general_linear import GeneralLinear
  from geomstats.geometry.hyperboloid import Hyperboloid
  from geomstats.geometry.matrices import Matrices
  from geomstats.geometry.open_hemisphere import OpenHemispheresProduct, OpenHemisphereToHyperboloidDiffeo
  from geomstats.geometry.positive_lower_triangular_matrices import UnitNormedRowsPLTDiffeo
  from geomstats.geometry.pullback_metric import PullbackDiffeoMetric
  from geomstats.geometry.quotient_metric import QuotientMetric
  from geomstats.geometry.spd_matrices import CholeskyMap, SPDAffineMetric, SPDMatrices
label_desc: Use image node_id 8 for calling the FullRankCorrelationMatrices obj's underlying member method code with example usage: obj.random_point(n_samples, bound) and returns: self