Explain why early stopping isn't implemented

Hello,
I was looking at the documentation for BayesianParameterSampling for HyperDrive and there is a note saying that it doesn't support early stopping. It would be useful if you could explain why this is the case (I don't think there is any inherent limitation in the algorithm, but I could be wrong) or whether this is planned.

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* ID: e06f0efe-069e-b703-eb92-6e5832f0a0b2
* Version Independent ID: 58afae14-065b-f63d-c679-8def0afb54fd
* Content: [azureml.train.hyperdrive.BayesianParameterSampling class - Azure Machine Learning Python](https://docs.microsoft.com/en-us/python/api/azureml-train-core/azureml.train.hyperdrive.bayesianparametersampling?view=azure-ml-py)
* Content Source: [AzureML-Docset/stable/docs-ref-autogen/azureml-train-core/azureml.train.hyperdrive.BayesianParameterSampling.yml](https://github.com/MicrosoftDocs/MachineLearning-Python-pr/blob/live/AzureML-Docset/stable/docs-ref-autogen/azureml-train-core/azureml.train.hyperdrive.BayesianParameterSampling.yml)
* Service: **machine-learning**
* Sub-service: **core**
* GitHub Login: @DebFro
* Microsoft Alias: **debfro**

Inizia dalla pagina della documentazione di BayesianParameterSampling e dal relativo file sorgente, AzureML-Docset/stable/docs-ref-autogen/azureml-train-core/azureml.train.hyperdrive.BayesianParameterSampling.yml. Esamina la limitazione dell’arresto anticipato o il supporto pianificato, quindi aggiorna la documentazione per spiegare il motivo o lo stato e verifica la nota API sottoposta a rendering.

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