code: def regression(self, parameters):
      expected = numpy.load(
          join(
              filedir(),
              "tensorflowpredicteffnetdiscogs",
              "effnetdiscogs.activations.npy",
          )
      )
  
      filename = join(testdata.audio_dir, "recorded", "techno_loop.wav")
      audio = MonoLoader(filename=filename, sampleRate=16000)()
  
      activations = TensorflowPredictEffnetDiscogs(**parameters)(audio)
      found = numpy.mean(activations, axis=0)
  
      self.assertAlmostEqualVector(found, expected, 1e-4)
  
imports: from essentia_test import *
label_desc: Use image node_id 1 for calling the TestTensorFlowPredictEffnetDiscogs obj's underlying member method code with example usage: obj.regression(parameters) without return types