code: def fit(self, ctx: Context, train_data, validate_data=None) -> None:
      logger.info("Enter HeteroBinning fit.")
      self.column_anonymous_map = dict(
          zip(
              train_data.schema.columns,
              train_data.schema.anonymous_columns,
          )
      )
      self._bin_obj.fit(ctx, train_data)
  
imports: import logging
  import numpy
  import pandas
  from fate.arch import Context
  from fate.arch.histogram import HistogramBuilder
  from ..abc.module import HeteroModule, Module
label_desc: Use image node_id 3 for calling the HeteroBinningModuleHost obj's underlying member method code with example usage: obj.fit(ctx, train_data, validate_data) without return types