Anomaly Check functions not defined when using PyDeequ on Glue

Describe the bug
While following this Tutorial:
https://github.com/awslabs/python-deequ/blob/master/tutorials/anomaly_detection.ipynb
Error:

File "<stdin>", line 4, in <module>
NameError: name 'RateOfChangeStrategy' is not defined

Same error for SimpleThresholdStrategy,RelativeRateOfChangeStrategy etc.

To Reproduce
Steps to reproduce the behavior:

1. Create a Glue Jobs with same code as per the Tutorial : https://github.com/awslabs/python-deequ/blob/master/tutorials/anomaly_detection.ipynb
2. Except, before importing pydeequ create python environment variable :

import os
os.environ["SPARK_VERSION"] = "3.3"

3. Use Glue Version 4.0 . Spark 3.3
4. To include Pydeequ module create a setuup.py as shown below :

from setuptools import setup

setup(
  name="pydeequ_module",
  version="0.1",
  packages=['pydeequ_module'],
  install_requires=['pydeequ==1.1.0rc0','sagemaker_pyspark']
)

Copy the .whl file to s3 location and refer it as additional python libraries in Glue job. Reference :
https://repost.aws/knowledge-center/glue-import-error-no-module-named
5. Use the dependent jar file as deequ-2.0.3-spark-3.3.jar
6. Run the job the error shows up as :NameError: name 'RelativeRateOfChangeStrategy' is not defined

Expected behavior
The job should succeed identifying anomaly.