class_docstr: Task object for tf-ranking BERT.
class_docstr_tok: ["Task","object","for","tf-ranking","BERT","."]
docstr: Writes prediction results to a csv file.
code: def _write_as_csv(self, outputs, output_path):
      """Writes prediction results to a csv file."""
      # Using `sorted_keys` to make sure results are properly aligned.
      logging.info("Writing prediction results to %s", output_path)
      sorted_keys = sorted(list(outputs.keys()))
      csv_outputs = []
      for i in range(len(next(iter(outputs.values())))):
          csv_output = [str(outputs[key][i]) for key in sorted_keys]
          csv_outputs.append(",".join(csv_output))
  
      with tf.io.gfile.GFile(output_path, "w") as writer:
          writer.write(",".join(sorted_keys) + "\n")
          writer.write("\n".join(csv_outputs))
  
imports: import dataclasses
  import os
  import time
  from typing import Dict, Mapping, Optional, Tuple
  from absl import logging
  import numpy
  import tensorflow
  from official.core import task_factory
  from official.modeling.hyperparams import base_config
  from official.nlp.configs import encoders
  from tensorflow_ranking.extension import task
  from tensorflow_ranking.python.keras import metrics
  from tensorflow_ranking.python.keras import model
label_desc: Use image node_id 10 for calling the TFRBertTask obj's underlying member method code with example usage: obj._write_as_csv(outputs, output_path) without return types