class_docstr: A matrix representation out of features.
class_docstr_tok: ["A","matrix","representation","out","of","features","."]
docstr: Args:
      features: A matrix with rows that represent records
          (corresponding to the elements in records_data) and columns
          that describe a point in space for each row.
      records_data: Data to return when a doc is matched. Index of
          corresponds to features.
code: def __init__(self, features, records_data):
      """
      Args:
          features: A matrix with rows that represent records
              (corresponding to the elements in records_data) and columns
              that describe a point in space for each row.
          records_data: Data to return when a doc is matched. Index of
              corresponds to features.
      """
      self.matrix = features
      self.records_data = _np.array(records_data)
  
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 1 to create a new MatrixMetricSearch object from inherited base classes: object with example: obj = MatrixMetricSearch(features, records_data)