code: def predictions(self, features):
      y_ground_truth = ground_truth_target_function(features).ravel()
      noise = 0.1 * np.random.randn(len(y_ground_truth))
      return y_ground_truth + noise
  
imports: import numpy
  import pandas
  import pytest
  from cleanlab import Datalab
  from cleanlab.datalab.internal.issue_manager.regression.label import RegressionLabelIssueManager
label_desc: Use image node_id 7 for calling the TestRegressionLabelIssueManager obj's underlying member method code with example usage: obj.predictions(features) and returns: unknown