class_docstr: API for writing serialized feature skew results to a TFRecord file.
class_docstr_tok: ["API","for","writing","serialized","feature","skew","results","to","a","TFRecord","file","."]
docstr: Initializes the transform.
  
  Args:
    output_path: Output path for writing feature skew results.
docstr_tok: ["Initializes","the","transform",".","Args",":","output_path",":","Output","path","for","writing","feature","skew","results","."]
code: def __init__(self, output_path: str) -> None:
      """Initializes the transform.
  
      Args:
        output_path: Output path for writing feature skew results.
      """
      self._output_path = output_path
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import itertools
  import logging
  from typing import Callable, Iterable, List, Optional, Text, Tuple, Set
  import apache_beam
  import pyarrow
  import tensorflow
  from tensorflow_data_validation import constants
  from tensorflow_data_validation import types
  from tensorflow_data_validation.anomalies.proto import custom_validation_config_pb2
  from tensorflow_data_validation.anomalies.proto import validation_config_pb2
  from tensorflow_data_validation.anomalies.proto import validation_metadata_pb2
  from tensorflow_data_validation.api import validation_options
  from tensorflow_data_validation.pywrap.tensorflow_data_validation_extension import validation
  from tensorflow_data_validation.skew import feature_skew_detector
  from tensorflow_data_validation.skew.protos import feature_skew_results_pb2
  from tensorflow_data_validation.statistics import stats_impl
  from tensorflow_data_validation.statistics import stats_options
  from tensorflow_data_validation.utils import anomalies_util
  from tensorflow_data_validation.utils import slicing_util
  from tensorflow_data_validation.utils import stats_util
  from tensorflow_metadata.proto.v0 import anomalies_pb2
  from tensorflow_metadata.proto.v0 import schema_pb2
  from tensorflow_metadata.proto.v0 import statistics_pb2
label_desc: Use image node_id 1 to create a new WriteFeatureSkewResultsToTFRecord object from inherited base classes: beam with example: obj = WriteFeatureSkewResultsToTFRecord(output_path)