class_docstr: A matrix that implements euclidean distance search against it.
  WARNING: This is not optimized.
class_docstr_tok: ["A","matrix","that","implements","euclidean","distance","search","against","it",".","WARNING",":","This","is","not","optimized","."]
docstr: Args:
      val: A list of features to be formatted.
  Returns:
      The transformed matrix.
code: def features_to_matrix(features):
      """
      Args:
          val: A list of features to be formatted.
      Returns:
          The transformed matrix.
      """
      return _np.array(features, ndmin=2)
  
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import abc
  import numpy
  import scipy.sparse
  import scipy.spatial.distance
label_desc: Use image node_id 2 for calling the SlowEuclideanDistance obj's underlying member method code with example usage: obj.features_to_matrix(features) and returns: _np