code: def get_data(self):
      # create sample data
      schema = StructType(
          [
              StructField("label", DoubleType()),
              StructField("text", StringType()),
          ],
      )
  
      data = pyspark.sql.SparkSession.builder.getOrCreate().createDataFrame(
          [
              (-1.0, "mountains are nice"),
              (1.0, "do you have the TPS reports ready?"),
          ],
          schema,
      )
  
      # featurize data
      featurizer = VowpalWabbitFeaturizer(stringSplitInputCols=["text"])
      return featurizer.transform(data)
  
file_path: SynapseML/vw/src/test/python/synapsemltest/vw/test_vw.py
imports: import os
  import unittest
  import tempfile
  import pyspark
  from synapse.ml.vw.VowpalWabbitClassifier import VowpalWabbitClassifier
  from synapse.ml.vw.VowpalWabbitRegressor import VowpalWabbitRegressor
  from synapse.ml.vw.VowpalWabbitFeaturizer import VowpalWabbitFeaturizer
  from pyspark.sql.types import *
  from synapsemltest.spark import *
label_desc: Use image node_id 1 for calling the VowpalWabbitSpec obj's underlying member method code with example usage: obj.get_data() and returns: featurizer