How is the "Two-class averaged perceptron" different from the "ML neural network regression" you used before? It sounds like one estimates probabilities of belonging to one class and the other one estimates real values. But you haven't chosen a different outcome variable.
Although I'm not privy to the inner workings of Azure Data Studio, I ran a query on a medium-sized testing table while monitoring task manager in another window. Running the query and displaying the results resulted in an increase from 504MB to about 540MB RAM while the query ran and returned results, back down to 510MB or so after the results displayed. I scrolled through the results to the last row of the result set, stopping at different points along the way, but didn't see much change in memory usage as I was doing this. It was another story when I decided to export the results as an XML file. Memory usage continued to increase up to 744MB and stayed there as ADS displayed my XML file in a new tab (my result set had about 550,000 rows and just 10 columns of data). Once I closed the exported XML tab, memory usage dropped down to around 550MB. Not a full scientific analysis of ADS' memory usage, but hopefully it gives you an idea of how it uses memory and how you can plan based on that.
I was unable to duplicate your example. Apparently you´ve decided to use your own dataset which will require a lot of setup. What is wrong with IDES data?
I'm working with the SAP University Alliance Global Bikes Inc. data in my examples. Each setup will be different with respect to company codes, account codes, etc.
Probably a little late, but you will need to send the invoice to the customer and receive/post payment on it. At that point, it should display as "complete."
Hi! very nice video and very usefull! My question is, can i use Optimize Parameters (Grid) for logistic regression model or only for decision tree? Because i cannot file a single information on which parameters to use in that case
Yes, you can use it for any algorithm operator that has configurable parameters. Logistic regression doesn't have a lot of options, but you can change your alpha & lambda levels, set processing limits, and several other options.
Thanks, Mitchell for the useful and easy-to-use video for SAP.Pls, tell me which version of SAP is being introduced in this video and others in the series.
