class_docstr: XRAI Interpreter that uses Guided IG as the base attribution.
class_docstr_tok: ["XRAI","Interpreter","that","uses","Guided","IG","as","the","base","attribution","."]
code: def get_visualization_params(self) -> dict[str, Any]:
      return {
          "cm_name": SEQUENTIAL_COLOR_MAP,
          "clip_fraction": CLIPPING_FRACTION,
          "alpha_mul": AREA_SALIENCY_ALPHA_MUL,
          "signed": False,
          "pixel_saliency": False,
      }
  
imports: import abc
  from collections.abc import Callable
  from typing import Any, NamedTuple, Optional, cast
  from absl import logging
  from lit_nlp.api import components
  from lit_nlp.api import dataset
  from lit_nlp.api import model
  from lit_nlp.api import types
  from lit_nlp.lib import image_utils
  from lit_nlp.lib import utils
  import numpy
  import saliency
label_desc: Use image node_id 5 for calling the XRAIGIG obj's underlying member method code with example usage: obj.get_visualization_params() and returns: dict