code: def _get_top_positive_features(feature_names, coef, k, x):
      indices = argsort_k_largest_positive(coef, k)
      return _features(indices, feature_names, coef, x)
  
file_path: eli5/eli5/_feature_weights.py
imports: from __future__ import absolute_import
  import numpy
  from eli5.base import FeatureWeights, FeatureWeight
  from .utils import argsort_k_largest_positive, argsort_k_smallest, mask
label_desc: Use image node_id 5 for calling a global function with example usage: _get_top_positive_features(feature_names, coef, k, x) and returns: _features