class_docstr: A data pipeline for transform the entire dataset.
  
  # Arguments
      inputs: A list of lists of Preprocessors. For the input datasets for
          the model.
      outputs: A list of lists of Preprocessors. For the target datasets for
          the model.
class_docstr_tok: ["A","data","pipeline","for","transform","the","entire","dataset",".","#","Arguments","inputs",":","A","list","of","lists","of","Preprocessors",".","For","the","input","datasets","for","the","model",".","outputs",":","A","list","of","lists","of","Preprocessors",".","For","the","target","datasets","for","the","model","."]
docstr: Transform the target dataset for the model.
  
  # Arguments
      dataset: tf.data.Dataset. The target dataset for the model.
  
  # Returns
      An instance of tf.data.Dataset. The transformed dataset.
docstr_tok: ["Transform","the","target","dataset","for","the","model",".","#","Arguments","dataset",":","tf.data.Dataset",".","The","target","dataset","for","the","model",".","#","Returns","An","instance","of","tf.data.Dataset",".","The","transformed","dataset","."]
code: def transform_y(self, dataset):
      """Transform the target dataset for the model.
  
      # Arguments
          dataset: tf.data.Dataset. The target dataset for the model.
  
      # Returns
          An instance of tf.data.Dataset. The transformed dataset.
      """
      return self._transform_data(dataset, self.outputs)
  
imports: import tensorflow
  from tensorflow import keras
  from tensorflow import nest
  from autokeras import preprocessors
  from autokeras.engine import hyper_preprocessor
  from autokeras.engine import preprocessor
  from autokeras.utils import data_utils
  from autokeras.utils import io_utils
label_desc: Use image node_id 5 for calling the Pipeline obj's underlying member method code with example usage: obj.transform_y(dataset) and returns: self