How do you evaluate and retrieve a time series forecast from Azure Machine Learning? (20 of 28) : Foetron

How do you evaluate and retrieve a time series forecast from Azure Machine Learning? (20 of 28) Print

Created by: Saima Farheen

Modified on: Mon, 31 Aug, 2020 at 3:56 PM

In this video, you will learn how to use an external python function to run your data through a forecast evaluation. Using Python files uploaded to the cloud environment within the Azure Machine Learning Studio, you can call functions within those files from the Jupyter Notebooks within the same cloud environment. https://www.aka.ms/AzureMLRespository

For more tips like this, check out the working remotely playlist at www.youtube.com/FoetronAcademy . Also, if you need any further assistance then you can raise a support ticket and get it addressed.

Saima is the author of this solution article.

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How do you evaluate and retrieve a time series forecast from Azure Machine Learning? (20 of 28) Print

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How do you evaluate and retrieve a time series forecast from Azure Machine Learning? (20 of 28) Print

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