Method iterableAsScalaIterable does not exist Using Databricks

**Describe the bug**
Hello,

I'm using Databricks and pydeequ to build a QA step in structured streaming.
One of the Analyzers that I need to use is the Uniqueness.
If I try to add another one like Completeness, work properly, but if y add the Uniqueness I get an error:

`py4j.Py4JException: Method iterableAsScalaIterable([class java.lang.String]) does not exist`

Log:
```
Py4JError Traceback (most recent call last)
<[command-1299007449178928]()> in
1 from pydeequ.analyzers import *
2
----> 3 analysisResult = AnalysisRunner(spark) \
4 .onData(df) \
5 .addAnalyzer(Size()) \

/local_disk0/.ephemeral_nfs/envs/pythonEnv-3e8b052e-7811-4908-bcc3-79a52e659d2d/lib/python3.8/site-packages/pydeequ/analyzers.py in addAnalyzer(self, analyzer)
132 """
133 analyzer._set_jvm(self._jvm)
--> 134 _analyzer_jvm = analyzer._analyzer_jvm
135 self._AnalysisRunBuilder.addAnalyzer(_analyzer_jvm)
136 return self

/local_disk0/.ephemeral_nfs/envs/pythonEnv-3e8b052e-7811-4908-bcc3-79a52e659d2d/lib/python3.8/site-packages/pydeequ/analyzers.py in _analyzer_jvm(self)
773 """
774 return self._deequAnalyzers.Uniqueness(
--> 775 to_scala_seq(self._jvm, self.columns), self._jvm.scala.Option.apply(self.where)
776 )
777

/local_disk0/.ephemeral_nfs/envs/pythonEnv-3e8b052e-7811-4908-bcc3-79a52e659d2d/lib/python3.8/site-packages/pydeequ/scala_utils.py in to_scala_seq(jvm, iterable)
77 Scala sequence
78 """
---> 79 return jvm.scala.collection.JavaConversions.iterableAsScalaIterable(iterable).toSeq()
80
81

/databricks/spark/python/lib/py4j-0.10.9.1-src.zip/py4j/java_gateway.py in __call__(self, *args)
1302
1303 answer = self.gateway_client.send_command(command)
-> 1304 return_value = get_return_value(
1305 answer, self.gateway_client, self.target_id, self.name)
1306

/databricks/spark/python/pyspark/sql/utils.py in deco(*a, **kw)
115 def deco(*a, **kw):
116 try:
--> 117 return f(*a, **kw)
118 except py4j.protocol.Py4JJavaError as e:
119 converted = convert_exception(e.java_exception)

/databricks/spark/python/lib/py4j-0.10.9.1-src.zip/py4j/protocol.py in get_return_value(answer, gateway_client, target_id, name)
328 format(target_id, ".", name), value)
329 else:
--> 330 raise Py4JError(
331 "An error occurred while calling {0}{1}{2}. Trace:\n{3}\n".
332 format(target_id, ".", name, value))

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:341)
at py4j.reflection.ReflectionEngine.getMethod(ReflectionEngine.java:362)
at py4j.Gateway.invoke(Gateway.java:289)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.GatewayConnection.run(GatewayConnection.java:251)
at java.lang.Thread.run(Thread.java:748)
```

**To Reproduce**
I'm using the example provided on the main page:



I'm using this version of:
Databricks:

pydeequ:

java:

Thanks!

Commencez par pydeequ/analyzers.py autour de Uniqueness._analyzer_jvm et par pydeequ/scala_utils.py au niveau de to_scala_seq, puis reproduisez l’exemple Databricks avec Completeness et Uniqueness. Déterminez pourquoi la conversion Scala rejette l’argument columns et confirmez que l’ajout de Uniqueness ne lève plus la Py4JException signalée.

Rédigé par le modèle d'indexation à partir du texte de l'issue.