code: def testRegressionStreaming(self):
      # Do end-to-end extraction in streaming mode.
      embedding_model = streaming.TensorflowPredictMusiCNN(
          graphFilename=self.embedding_model_name,
          output="model/dense/BiasAdd",
      )
      classification_head = streaming.TensorflowPredict2D(
          graphFilename=self.head_model_name,
          input=self.head_input_name,
          output=self.head_output_name,
      )
      pool = Pool()
      vectorInput = VectorInput(self.audio)
  
      vectorInput.data >> embedding_model.signal
      embedding_model.predictions >> classification_head.features
      classification_head.predictions >> (pool, "predictions")
  
      run(vectorInput)
      found = pool["predictions"]
  
      self.assertAlmostEqualMatrix(found, self.expected)
  
file_path: essentia/test/src/unittests/machinelearning/test_tensorflowpredict2d.py
imports: from essentia_test import *
  import essentia.streaming
label_desc: Use image node_id 5 for calling the TestTensorFlowPredict2D obj's underlying member method code with example usage: obj.testRegressionStreaming() without return types