def get_metadata()

in text-semantic-search/embeddings_extraction/etl/pipeline.py [0:0]

• 10 lines of code
• 1 McCabe index (conditional complexity)

def get_metadata():
  from tensorflow_transform.tf_metadata import dataset_schema
  from tensorflow_transform.tf_metadata import dataset_metadata

  metadata = dataset_metadata.DatasetMetadata(dataset_schema.Schema({
    'id': dataset_schema.ColumnSchema(
      tf.string, [], dataset_schema.FixedColumnRepresentation()),
    'text': dataset_schema.ColumnSchema(
      tf.string, [], dataset_schema.FixedColumnRepresentation())
  }))
  return metadata