code: def test_predict(self, X_train, y_train, X_test, y_test, atol):
      self.estimator.fit(X_train, y_train)
  
      y_pred = self.estimator.predict(X_test)
      self.assertAllClose(y_pred, y_test, atol=atol)
  
imports: from geomstats.test_cases.learning._base import BaseEstimatorTestCase
label_desc: Use image node_id 2 for calling the RiemannianMinimumDistanceToMeanTestCase obj's underlying member method code with example usage: obj.test_predict(X_train, y_train, X_test, y_test, atol) without return types