class_docstr: Class for the manifold of Gamma distributions.
  
  This is :math:`Gamma = (R_+^*)^2`, the positive quadrant of the
  2-dimensional Euclidean space.
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docstr: Convert point from standard coordinates to natural coordinates.
  
  The change of variable is symmetric.
  
  Parameters
  ----------
  point : array-like, shape=[..., 2]
      Point of the Gamma manifold, given in standard coordinates.
  
  Returns
  -------
  point : array-like, shape=[..., 2]
      Point of the Gamma manifold, given in natural coordinates.
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code: def standard_to_natural(self, point):
      """Convert point from standard coordinates to natural coordinates.
  
      The change of variable is symmetric.
  
      Parameters
      ----------
      point : array-like, shape=[..., 2]
          Point of the Gamma manifold, given in standard coordinates.
  
      Returns
      -------
      point : array-like, shape=[..., 2]
          Point of the Gamma manifold, given in natural coordinates.
      """
      return self.natural_to_standard(point)
  
imports: from scipy.stats import gamma
  import geomstats.backend
  from geomstats.algebra_utils import from_vector_to_diagonal_matrix
  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
  from geomstats.numerics.bvp import ScipySolveBVP
  from geomstats.numerics.geodesic import ExpODESolver, LogODESolver
  from geomstats.numerics.ivp import ScipySolveIVP
  from geomstats.vectorization import check_is_batch
label_desc: Use image node_id 10 for calling the GammaDistributions obj's underlying member method code with example usage: obj.standard_to_natural(point) and returns: self