Multi-container endpoint SKLearn support unclear

**What did you find confusing? Please describe.**

I am interested in using a multi-container endpoint, as described in AWS docs [here](https://docs.aws.amazon.com/sagemaker/latest/dg/multi-container-endpoints.html). Specifically, I am interested in using [`Direct` invocation mode](https://docs.aws.amazon.com/sagemaker/latest/dg/multi-container-direct.html).

In their documentation, as part of creating the multi-container endpoint, they call `sm_client.create_model` with a `Containers` argument:

```python
container1 = {
'Image': '123456789012.dkr.ecr.us-east-1.amazonaws.com/myimage1:mytag',
'ContainerHostname': 'firstContainer'
}

container2 = {
'Image': '123456789012.dkr.ecr.us-east-1.amazonaws.com/myimage2:mytag',
'ContainerHostname': 'secondContainer'
}
inferenceExecutionConfig = {'Mode': 'Direct'}

import boto3
sm_client = boto3.Session().client('sagemaker')

response = sm_client.create_model(
ModelName = 'my-direct-mode-model-name',
InferenceExecutionConfig = inferenceExecutionConfig,
ExecutionRoleArn = role,
Containers = [container1, container2]
)
```

In sagemaker-python-sdk with SKLearn, the equivalent code would seem to be [the `SKLearnModel` constructor](https://sagemaker.readthedocs.io/en/stable/frameworks/sklearn/sagemaker.sklearn.html#scikit-learn-model) and [its `deploy` function](https://sagemaker.readthedocs.io/en/stable/api/inference/model.html#sagemaker.model.Model.deploy).
Neither of those seem to accept information on multiple containers.

Am I missing the function/input I'm supposed to use? Is there some different `SKLearnModelMultiContainer` class I'm supposed to be using instead? Am I supposed to use a combination of sagemaker-python-sdk and boto3's SageMaker client? Are multi-container endpoints just not supported with sagemaker-python-sdk yet?

I also tried searching [the docs site](https://sagemaker.readthedocs.io/) for "multi container" and variants of the phrase, and couldn't find anything useful.

**Describe how documentation can be improved**

Document *whether* multi-container endpoints are supported with sagemaker-python-sdk, and if they are, the way in which they're supported.

**Additional context**

I'm not the most knowledgeable with ML stuff, so maybe I'm totally misunderstanding something here.