code: def keep_negative_retrain(
      X, y, model_generator, method_name, num_fcounts=11
  ):
      """Keep Negative (retrain)
      xlabel = "Max fraction of features kept"
      ylabel = "Negative mean model output"
      transform = "negate"
      sort_order = 7
      """
      return __run_measure(
          measures.keep_retrain,
          X,
          y,
          model_generator,
          method_name,
          -1,
          num_fcounts,
          __mean_pred,
      )
  
imports: import hashlib
  import os
  import time
  import numpy
  import sklearn
  from ..None import __version__
  from .None import measures, methods
label_desc: Use image node_id 30 for calling a global function with example usage: keep_negative_retrain(X, y, model_generator, method_name, num_fcounts) and returns: __run_measure