code: def _get_top_abs_features(feature_names, coef, k, x):
      indices = argsort_k_largest_positive(np.abs(coef), k)
      features = _features(indices, feature_names, coef, x)
      pos = [fw for fw in features if fw.weight > 0]
      neg = [fw for fw in features if fw.weight < 0]
      return pos, neg
  
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 4 for calling a global function with example usage: _get_top_abs_features(feature_names, coef, k, x) and returns: pos,  neg