class_docstr: Defines a set of values of interest for a particular feature along with an associated sub-score.
docstr: Computes the sub-score for the bin based on the feature value.
  
  @param assignment: dict mapping variable name to value
  @return: float sub-score for the bin
docstr_tok: ["Computes","the","sub-score","for","the","bin","based","on","the","feature","value",".","@","param","assignment",":","dict","mapping","variable","name","to","value","@","return",":","float","sub-score","for","the","bin"]
code: def evaluate(self, assignment: Dict[str, Any]) -> float:
      """
      Computes the sub-score for the bin based on the feature value.
  
      @param assignment: dict mapping variable name to value
      @return: float sub-score for the bin
      """
      raise NotImplementedError(
          "Method evaluate in Bin not implemented"
      )
  
imports: import abc
  from numbers import Real
  from typing import Dict, Set, Any, Optional
  from aix360.algorithms.rule_induction.trxf.core import Feature
label_desc: Use image node_id 2 for calling the Bin obj's underlying member method code with example usage: obj.evaluate(assignment) without return types