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STATUS DETAILS
Under Review

Comments

P

It would be powerful if Power BI datasets or data sources could be an input to Azure ML (including Studio). ML outputs should be painlessly integrated back into Power BI visuals (w/out having to do an API connection). —> result: self service revolution comes to machine learning

P

How can i connect to Azure ML to Power BI?
Means how can i consume the Predictive Data or web services from Azure ML to Power BI.
I have tried to run that R code of Azure ML into R Visual studio anb power bi but it didnt wirk and shows the error "Error: object 'httpStatus' not found" " Error :Json not able to parse".
Also i am trying to access the Azure SQL Table from Power bi Desktop but it shows the " "Error:Details: "Microsoft SQL: A network-related or instance-specific error occurred while establishing a connection to SQL Server. The server was not found or was not accessible. Verify that the instance name is correct and that SQL Server is configured to allow remote connections. (provider: TCP Provider, error: 0 - The remote computer refused the network connection.)"

P

Also, it would be fantastic if you had a connected data set in Azure ML to Power BI and scheduled refresh could kick off the retraining of the web service. That way, every time the data is updated according to the schedule in Power BI, your model gets retrained on the latest data.

P

I agree that it would be really nice to either have Power BI be able to use an Azure ML data set as a query source AND have Azure ML be able to use a Power BI data set as a starting point for an experiment.

P

Please integrate Azure ML Studio with Power BI for data visualization

P

Hii...
If i want to show the graphics output of the ML model on my dashboard.
How can i proceed

P

Although it is possible to output Azure ML into a table/blob/file and then use that as a data source in Power BI, it would be clearer and easier to integrate the two technologies more directly. I would like to see a way to select an Azure ML experiment or web service in Power BI, especially for forecasting scenarios, as well as recommendations and more run-of-the-mill classifications (like highlight high-value customers, decide which segment the customer belongs too etc). As a bonus, having Power BI selectable as an output in Azure ML would complete the integration.