class_docstr: A gamma random variable.
class_docstr_tok: ["A","gamma","random","variable","."]
code: def __init__(self, space):
      super().__init__(space, gamma.rvs, gamma.pdf)
  
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 1 to create a new GammaDistributionsRandomVariable object from inherited base classes: ScipyUnivariateRandomVariable with example: obj = GammaDistributionsRandomVariable(space)