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**