code: def _fit_human(model_generator, val00, val01, val11):
      # force the model to fit a function with almost entirely zero background
      N = 1000000
      M = 3
      X = np.zeros((N, M))
      X.shape
      y = np.ones(N) * val00
      X[0:1000, 0] = 1
      y[0:1000] = val01
      for i in range(0, 1000000, 1000):
          X[i, 1] = 1
          y[i] = val01
      y[0] = val11
      model = model_generator()
      model.fit(X, y)
      return model
  
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 44 for calling a global function with example usage: _fit_human(model_generator, val00, val01, val11) and returns: model