code: def random_dataset(self, n_samples):
      # TODO: distinction between noisy and noiseless?
      model = self.random_model()
      X, y = model.generate(n_samples)
      return X, y
  
file_path: geomstats/geomstats/test_cases/learning/geodesic_regression.py
imports: import pytest
  import geomstats.backend
  from geomstats.test.random import RandomDataGenerator
  from geomstats.test_cases.learning._base import BaseEstimatorTestCase
label_desc: Use image node_id 3 for calling the GeodesicRegressionRandomDataGenerator obj's underlying member method code with example usage: obj.random_dataset(n_samples) and returns: X,  y