code: def predict_normal_shap(model: Booster, data):
      preds = model.predict(data, pred_contrib=True)[:, :-1]  # type: ignore
      _adjust_shap_for_rf(model, preds)
      return preds
  
file_path: miceforest/miceforest/builtin_pred_funcs.py
imports: from .utils import logodds
  from lightgbm import Booster
  import numpy
label_desc: Use image node_id 3 for calling a global function with example usage: predict_normal_shap(model, data) and returns: preds