Deequ error for Uniqueness analyzer (iterableAsScalaIterable)

Describe the bug
Trying few example from pydeequ quickstart. When trying to compute Uniqueness facing java exception 'Method iterableAsScalaIterable([class java.lang.String]) does not exist'

To Reproduce
Steps to reproduce the behaviour:

Start Jupyter from Pyspark shell
All examples from basic tutorial works however adding analyser .addAnalyzer(Uniqueness("b"))
Brings the error. (screenshots attached).
Screenshots

This is working
**This is not working**

**Error:**
Py4JError: An error occurred while calling z:scala.collection.JavaConversions.iterableAsScalaIterable. Trace:
py4j.Py4JException: Method iterableAsScalaIterable([class java.lang.String]) does not exist
at py4j.reflection.ReflectionEngine.getMethod(ReflectionEngine.java:318)
at py4j.reflection.ReflectionEngine.getMethod(ReflectionEngine.java:339)
at py4j.Gateway.invoke(Gateway.java:276)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:238)
at java.lang.Thread.run(Thread.java:748)

Additional context
Tried a lot of deequ jar options but this deequ-1.1.0_spark-3.0-scala-2.12.jar worked for all cases except the one described above

Comienza en una sesión de Jupyter iniciada desde el shell de PySpark y reproduce los ejemplos de inicio rápido; después añade Uniqueness("b") para aislar la llamada que falla. Compara los analizadores que funcionan con la ruta que falla y con la configuración de deequ-1.1.0_spark-3.0-scala-2.12.jar; la tarea estará terminada cuando Uniqueness se ejecute sin el error iterableAsScalaIterable de Py4J.

Escrito por el modelo de indexación a partir del texto del issue.