code: def execute(self):
      for c in self.callbacks:
          c.reset()
  
      processed_outputs = None
      if self.execution_mode == ExecutionMode.TRANSFORM:
          processed_outputs = self.pipeline.transform(self.data_inputs)
      if self.execution_mode == ExecutionMode.FIT_TRANSFORM:
          (
              self.pipeline,
              processed_outputs,
          ) = self.pipeline.fit_transform(
              self.data_inputs, self.expected_outputs
          )
      if self.execution_mode == ExecutionMode.FIT:
          self.pipeline = self.pipeline.fit(
              self.data_inputs, self.expected_outputs
          )
  
      return processed_outputs
  
imports: import numpy
  from neuraxle.base import ExecutionMode
label_desc: Use image node_id 4 for calling the NeuraxleTestCase obj's underlying member method code with example usage: obj.execute() and returns: processed_outputs