class_docstr: LogNormal Distribution on Euclidean Space.
code: def __init__(self, space, mean, cov):
      self._check_metric(space)
  
      self.space = space
      self.mean = mean
      self.cov = cov
  
file_path: geomstats/geomstats/distributions/lognormal.py
imports: import geomstats.backend
  from geomstats.geometry.euclidean import Euclidean, EuclideanMetric
  from geomstats.geometry.hermitian_matrices import expmh, powermh
  from geomstats.geometry.matrices import Matrices, MatricesMetric
  from geomstats.geometry.spd_matrices import SPDAffineMetric, SPDLogEuclideanMetric, SPDMatrices, logmh
label_desc: Use image node_id 1 to create a new LogNormalEuclidean object  with example: obj = LogNormalEuclidean(space, mean, cov)