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**

Commencez par la page de référence de TabularDatasetFactory et sa source de contenu, AzureML-Docset/stable/docs-ref-autogen/azureml-core/azureml.data.dataset_factory.TabularDatasetFactory.yml. Examinez la documentation de register_pandas_dataframe() et ajoutez un petit tableau décrivant les types de données non pris en charge, y compris les cas signalés dans l’issue. La tâche est considérée comme terminée lorsque la référence publiée explique clairement quels types ne peuvent pas être enregistrés.

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