Hi Romungi

Thanks for the response

I am using Automated ML timeseries for predicting sales from sample sales data of a retailer.

My historical data is available in Azure blob storage and I linked to the Azure Machine Learning Studio instance through datastore. I am creating dataset under new automated ML run

My historical sales data has details of transaction data at the store level and product level . it has the 2 time series identifier.

In the snap2 , we can observe that count is 10000 and time is 2019-02-03, even though original CSV file has data till 2020-08-31

I observer similar issue with other dataset. Also while generating the model it either fails with error "Unable to detect the frequency " or after generating model I am unable to test model for a valid product and store identifier

If I trim the data to less than10000 , I am able to create the model and run the model

It will be highly appreciated if there are work around to this problem

Thanks
Ramabadran

Hi GiftA ,

I am getting same issue even for previously working model

Thanks
Ramabadran

Hi GiftA

thanks for the response, I facing same issue in Chrome as well , After following the steps, I am still facing same issue

Thanks
Ramabadran

Hi GiftA

II am getting issue for both Google chrome and Microsoft Edge

thanks
Ramabadran