docstr: Summary
  
  Parameters
  ----------
  input_data : TYPE
      Description
  
  Returns
  -------
  TYPE
      Description
docstr_tok: ["Summary","Parameters","--","--","--","--","--","input_data",":","TYPE","Description","Returns","--","--","--","-","TYPE","Description"]
code: def predict(self, input_data):
      """Summary
  
      Parameters
      ----------
      input_data : TYPE
          Description
  
      Returns
      -------
      TYPE
          Description
      """
      # Vanilla prediction case is obivously not fleshed out.
  
      prediction = self.model.predict(input_data)
  
      return prediction
  
file_path: DeepNeuro/deepneuro/outputs/inference.py
imports: import numpy
  from deepneuro.outputs.output import Output
  from deepneuro.utilities.util import add_parameter
label_desc: Use image node_id 3 for calling the ModelInference obj's underlying member method code with example usage: obj.predict(input_data) and returns: prediction