你好，

您可以下载***运行的模型文件，并使用它来创建

azure ML管道 

为了获得***的运行迭代，你可以
检查 结果并从门户网站迭代的输出选项卡下载模型文件。 

您还可以通过在AutoMLConfig中将enable_ensembling的bo​​ol更改为True并使用此迭代模型进行新数据集的训练来进行集成。

Hi,

I am following this Notebook as an example on how to use Azure AutoML, to forecast a time series.

I have a scenario where I must forecast next month sales for different stores and items (large data sets). And every month I need to add new data and retrain the models.

After the AutoML experiment run, I will have the best model and it can be used to make predictions, great!.

But now I want to retrain that model without the need to search for the best model all over again.

How can I do that?

Hello,

You can download the model file of the run that is best and use it to create a azure ML pipeline 

To get the best iteration of a run you can examine the results and download the model file from output tab of the iteration in portal. 

You can also enable ensembling by changing the bool of enable_ensembling to True in AutoMLConfig and use this iteration model for training with new datasets.