class_docstr: Holds partial cross feature statistics for a feature cross.
class_docstr_tok: ["Holds","partial","cross","feature","statistics","for","a","feature","cross","."]
code: def __init__(self):
      self.sum_x = 0
      self.sum_y = 0
      self.sum_square_x = 0
      self.sum_square_y = 0
      self.sum_xy = 0
      self.count = 0
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import itertools
  import math
  import random
  from typing import Dict, Iterable, List, Optional, Text
  import numpy
  import pandas
  from pandas import DataFrame, Series
  import pyarrow
  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 tensorflow_metadata.proto.v0 import path_pb2
  from tensorflow_metadata.proto.v0 import statistics_pb2
label_desc: Use image node_id 1 to create a new _PartialCrossFeatureStats object from inherited base classes: object with example: obj = _PartialCrossFeatureStats()