register_pandas_dataframe() cannot register with complex data types

When using the `register_pandas_dataframe()` method from the TabularDatasetFactory, I am getting an error
```
UserErrorException: UserErrorException:
Message: Cannot register pandas dataframes with columns containing complex data types. Encountered column with type:
InnerException None
ErrorResponse
{
"error": {
"code": "UserError",
"message": "Cannot register pandas dataframes with columns containing complex data types. Encountered column with type: "
}
```
I can see why I am getting this error, but what's very frustrating is on the [documentation page](https://stackoverflow.com/questions/71919389/azureml-tabulardataset-to-pandas-dataframe-returns-invalidencoding-error) and on the [user guide](https://stackoverflow.com/questions/71919389/azureml-tabulardataset-to-pandas-dataframe-returns-invalidencoding-error), nowhere does is show that some datatypes are not supported (like a numpy array).

A small table in the documentation showing unsupported datatypes would greatly benefit the user.

---
#### Document Details

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* ID: 9b1aee32-5a1f-2ef1-ee76-30b17999db87
* Version Independent ID: f4785272-a81d-e9cc-c6a5-9d41c8dcd90b
* Content: [azureml.data.dataset_factory.TabularDatasetFactory class - Azure Machine Learning Python](https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.data.dataset_factory.tabulardatasetfactory?view=azure-ml-py#azureml-data-dataset-factory-tabulardatasetfactory-from-json-lines-files)
* Content Source: [AzureML-Docset/stable/docs-ref-autogen/azureml-core/azureml.data.dataset_factory.TabularDatasetFactory.yml](https://github.com/MicrosoftDocs/MachineLearning-Python-pr/blob/live/AzureML-Docset/stable/docs-ref-autogen/azureml-core/azureml.data.dataset_factory.TabularDatasetFactory.yml)
* Service: **machine-learning**
* Sub-service: **core**
* GitHub Login: @DebFro
* Microsoft Alias: **debfro**

Beginne mit der Referenzseite für TabularDatasetFactory und ihrer Inhaltsquelle AzureML-Docset/stable/docs-ref-autogen/azureml-core/azureml.data.dataset_factory.TabularDatasetFactory.yml. Überprüfe die Dokumentation zu register_pandas_dataframe() und füge eine kleine Tabelle hinzu, die nicht unterstützte Datentypen beschreibt, einschließlich der im Issue gemeldeten Fälle. Als erledigt gilt die Aufgabe, wenn die veröffentlichte Referenz klar erläutert, welche Typen nicht registriert werden können.

Vom Indexierungsmodell aus dem Issue-Text verfasst.