class_docstr: Base class to be used within a FlaskRESTApiWrapper to convert prediction output to json response.
class_docstr_tok: ["Base","class","to","be","used","within","a","FlaskRESTApiWrapper","to","convert","prediction","output","to","json","response","."]
docstr: Transform processed data inputs into a flask response object.
  
  :param data_inputs:
  :return: flask response object
docstr_tok: ["Transform","processed","data","inputs","into","a","flask","response","object",".",":","param","data_inputs",":",":","return",":","flask","response","object"]
code: def transform(self, data_inputs) -> Response:
      """
      Transform processed data inputs into a flask response object.
  
      :param data_inputs:
      :return: flask response object
      """
      from flask import jsonify
  
      return jsonify(self.encode(data_inputs))
  
file_path: Neuraxle/neuraxle/rest/flask.py
imports: from abc import ABC, abstractmethod
  import numpy
  from flask import Response
  from neuraxle.base import BaseStep
  from neuraxle.pipeline import Pipeline
label_desc: Use image node_id 1 for calling the JSONDataResponseEncoder obj's underlying member method code with example usage: obj.transform(data_inputs) and returns: jsonify