What is the correct way to construct a ProtobufResponseRowDeserializer in PySpark?

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### System Information
- **Spark or PySpark**: PySpark
- **SDK Version**: 2.3.4
- **Spark Version**:
- **Algorithm (e.g. KMeans)**: Random Cut Forest Estimator

### Describe the problem
I have the following code in pyspark trying to to construct a `SageMakerEstimator` for a random cut forest image:

```python
# Random Cut Forest Estimator
from pyspark.sql.types import *
from sagemaker_pyspark import IAMRole
from sagemaker import get_execution_role
from sagemaker_pyspark import SageMakerEstimator
from sagemaker_pyspark import RandomNamePolicyFactory
from sagemaker_pyspark import EndpointCreationPolicy
from sagemaker.amazon.amazon_estimator import get_image_uri
from sagemaker_pyspark.transformation.serializers.serializers import ProtobufRequestRowSerializer
from sagemaker_pyspark.transformation.deserializers.deserializers import ProtobufResponseRowDeserializer

response_schema = StructType([StructField("score", DoubleType(), False)])

estimator = SageMakerEstimator(
trainingImage = get_image_uri(region, 'randomcutforest'), # Training image
modelImage = get_image_uri(region, 'randomcutforest'), # Model image
requestRowSerializer = ProtobufRequestRowSerializer(featuresColumnName="features"),
responseRowDeserializer = ProtobufResponseRowDeserializer(response_schema, protobufKeys["score"]),
sagemakerRole = IAMRole(role),
hyperParameters = {"feature_dim": "6"},
trainingInstanceType = "ml.m4.4xlarge",
trainingInstanceCount = 1,
endpointInstanceType = "ml.t2.medium",
endpointInitialInstanceCount = 1,
trainingSparkDataFormat = "sagemaker",
namePolicyFactory = RandomNamePolicyFactory("sparksm-4-"),
endpointCreationPolicy = EndpointCreationPolicy.CREATE_ON_CONSTRUCT
)
```

When I run this code using PySpark, I got the following error:
```bash
Py4JError: An error occurred while calling None.com.amazonaws.services.sagemaker.sparksdk.transformation.deserializers.ProtobufResponseRowDeserializer. Trace:
py4j.Py4JException: Constructor com.amazonaws.services.sagemaker.sparksdk.transformation.deserializers.ProtobufResponseRowDeserializer([class org.apache.spark.sql.types.StructType, class scala.collection.immutable.$colon$colon]) does not exist
at py4j.reflection.ReflectionEngine.getConstructor(ReflectionEngine.java:179)
at py4j.reflection.ReflectionEngine.getConstructor(ReflectionEngine.java:196)
at py4j.Gateway.invoke(Gateway.java:237)
at py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:80)
at py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:69)
at py4j.GatewayConnection.run(GatewayConnection.java:238)
at java.lang.Thread.run(Thread.java:745)
```

The problem is in the `ProtobufResponseRowDeserializer`. According to the [source code of this object for Scala](https://github.com/aws/sagemaker-spark/blob/98d3955c628847cf8d6566a85557445b536320c2/sagemaker-spark-sdk/src/main/scala/com/amazonaws/services/sagemaker/sparksdk/transformation/deserializers/ProtobufResponseRowDeserializer.scala#L40), it should accept a `Seq`.

What is the correct counterpart in PySpark? Obviously it doesn't accept a list of string.

I tried to search the `sagemaker-spark-sdk` and I couldn't find any reference there.

Start with the PySpark construction in the issue and compare it with sagemaker-spark-sdk/src/main/scala/com/amazonaws/services/sagemaker/sparksdk/transformation/deserializers/ProtobufResponseRowDeserializer.scala around line 40. Trace how the Python wrapper converts arguments to the JVM and determine the supported constructor argument shape; done means the provided estimator code constructs the deserializer without the reported Py4J exception.

Written by the indexing model from the issue text.