code: def custom_query_strategy(classifier, X, n_instances=1):
      utility = linear_combination(classifier, X)
      return multi_argmax(utility, n_instances=n_instances)
  
file_path: modAL/tests/example_tests/custom_query_strategies.py
imports: import numpy
  from modAL.models import ActiveLearner
  from modAL.uncertainty import classifier_margin, classifier_uncertainty
  from modAL.utils.combination import make_linear_combination, make_product
  from modAL.utils.selection import multi_argmax
  from sklearn.datasets import make_blobs
  from sklearn.gaussian_process import GaussianProcessClassifier
  from sklearn.gaussian_process.kernels import RBF
label_desc: Use image node_id 1 for calling a global function with example usage: custom_query_strategy(classifier, X, n_instances) and returns: multi_argmax