code: def regression(self, parameters):
      expected_activations = numpy.load(
          join(
              filedir(),
              "tensorflowpredict_crepe",
              "vignesh.activation.npy",
          )
      )
  
      filename = join(testdata.audio_dir, "recorded", "vignesh.wav")
      model = join(testdata.models_dir, "crepe", "crepe-tiny-1.pb")
  
      audio = MonoLoader(filename=filename, sampleRate=16000)()
      activations = TensorflowPredictCREPE(**parameters)(audio)
  
      self.assertAlmostEqualMatrix(
          activations, expected_activations, 1e-2
      )
  
imports: from essentia_test import *
label_desc: Use image node_id 1 for calling the TestTensorflowPredictCREPE obj's underlying member method code with example usage: obj.regression(parameters) without return types