class_docstr: Class for skew-symmetric matrices.
  
  Parameters
  ----------
  n : int
      Number of rows and columns.
class_docstr_tok: ["Class","for","skew-symmetric","matrices",".","Parameters","--","--","--","--","--","n",":","int","Number","of","rows","and","columns","."]
docstr: Sample from a uniform distribution in a cube and project to skew-symmetric.
  
  Parameters
  ----------
  n_samples : int
      Number of samples.
      Optional, default: 1.
  bound : float
      Bound of the interval in which to sample each entry.
      Optional, default: 1.
  
  Returns
  -------
  point : array-like, shape=[..., n, n]
      Sample.
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code: def random_point(self, n_samples=1, bound=1.0):
      """Sample from a uniform distribution in a cube and project to skew-symmetric.
  
      Parameters
      ----------
      n_samples : int
          Number of samples.
          Optional, default: 1.
      bound : float
          Bound of the interval in which to sample each entry.
          Optional, default: 1.
  
      Returns
      -------
      point : array-like, shape=[..., n, n]
          Sample.
      """
      return self.projection(super().random_point(n_samples, bound))
  
file_path: geomstats/geomstats/geometry/skew_symmetric_matrices.py
imports: import geomstats.backend
  from geomstats.geometry.lie_algebra import MatrixLieAlgebra
  from geomstats.geometry.matrices import Matrices, MatricesMetric
label_desc: Use image node_id 5 for calling the SkewSymmetricMatrices obj's underlying member method code with example usage: obj.random_point(n_samples, bound) and returns: self