class_docstr: Supports ragged tensors.
docstr: Builds the metrics for ragged.
docstr_tok: ["Builds","the","metrics","for","ragged","."]
code: def build_metrics(self):
      """Builds the metrics for ragged."""
      return tfr.keras.metrics.default_keras_metrics(ragged=True)
  
imports: import os
  from typing import List
  from absl import app
  from absl import flags
  from absl import logging
  import tensorflow
  import tensorflow_ranking
label_desc: Use image node_id 2 for calling the RaggedPipeline obj's underlying member method code with example usage: obj.build_metrics() and returns: tfr