code: def test_RMSE(self):
      rmse_metric = RMSE()
      predict = np.random.random_sample(1000) * 10
      label = np.random.random_sample(1000) * 10
      result = rmse_metric(predict, label)
      self.assertEqual(result.metric_name, "rmse")
      self.assertAlmostEqual(
          result.result,
          np.sqrt(mean_squared_error(label, predict)),
          places=7,
      )
  
file_path: FATE/python/fate/ml/evaluation/test/test_reg_metric.py
imports: import unittest
  import numpy
  from sklearn.metrics import mean_squared_error, mean_absolute_error, r2_score
  from fate.ml.evaluation.regression import *
label_desc: Use image node_id 1 for calling the TestMetric obj's underlying member method code with example usage: obj.test_RMSE() without return types