class_docstr: Partial feature stats for natural language.
code: def __init__(
      self, matched: int = 0, considered: int = 0, invalidate=False
  ) -> None:
      # The total number of values matching natural language heuristic.
      self.matched = matched
      # The total number of values considered for classification.
      self.considered = considered
      # True only if this feature should never be considered, e.g: some
      # value_lists have inconsistent types.
      self.invalidate = invalidate
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import abc
  from typing import Optional
  import numpy
  import pyarrow
  import six
  from tensorflow_data_validation import types
  from tensorflow_data_validation.statistics.generators import stats_generator
  from tensorflow_data_validation.utils import stats_util
  from tfx_bsl.arrow import array_util
  from typing import Iterable, Text
  from tensorflow_metadata.proto.v0 import statistics_pb2
label_desc: Use image node_id 1 to create a new _PartialNLStats object from inherited base classes: object with example: obj = _PartialNLStats(matched, considered, invalidate)