code: def get_model(self):
      output_model = {
          "data": {
              "local_corr": self.local_corr.to_dict()
              if self.local_corr is not None
              else None,
              "remote_corr": self.remote_corr.to_dict()
              if self.remote_corr is not None
              else None,
              "vif": self.vif.to_dict()
              if self.vif is not None
              else None,
          },
          "meta": {
              "model_type": "feature_correlation",
              "column_anonymous_map": dict(
                  zip(self.select_cols, self.select_anonymous_cols)
              )
              if self.select_anonymous_cols
              else None,
          },
      }
      return output_model
  
file_path: FATE/python/fate/ml/statistics/pearson_correlation.py
imports: import logging
  import pandas
  import torch
  from fate.arch import Context
  from fate.arch.dataframe import DataFrame
  from ..abc.module import Module
label_desc: Use image node_id 4 for calling the PearsonCorrelation obj's underlying member method code with example usage: obj.get_model() and returns: output_model