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!

まず pydeequ/analyzers.py の Uniqueness._analyzer_jvm 周辺と、pydeequ/scala_utils.py の to_scala_seq を確認し、次に Completeness と Uniqueness を使って Databricks の例を再現します。Scala への変換が columns 引数を拒否する理由を追跡し、Uniqueness を追加しても報告された Py4JException が発生しなくなったことを確認します。

索引モデルが issue の本文から書いたものです。