A program to recognize and reward our most engaged community members
Hi everybody,
i just wanted to quickly inform you that i've released a new extension on prescriptive optimization to the market place: https://marketplace.rapidminer.com/UpdateServer/faces/product_details.xhtml?productId=rmx_prescriptive_analytics .
Sadly i don't have time to write a larger post on it, but i hope you still enjoy.
Best,
Martin
@mschmitz I'm going to check this out and let you know what I think. On the surface, this definately fits a need I have. THANKS!!!
@Thomas_Ott,
make sure to use 9.0-BETA for it. Then you can run the example process which is somewhat self-explanatory.
BR,
FYI you can now hyperlink directly to the extension in the marketplace in Studio:
rapidminer://extension/rmx_prescriptive_analytics
Scott
Hi All,
i just released a new version with an additional optimization method.
Any feedback? Maybe @Thomas_Ott ?
Hi @mschmitz
Wanted to check out tutorial process but not sure what dataset exactly it is referring to? There's no such dataset in standard repo templates:
@kypexin,
are you running 9.0?
Yep I think it was the reason. I am still on version 8. Time to update...
Hi Everyone,
i've just released a new version of the extension to the marketplace.
Version 0.1.4============= - Added "random", "input example" and "reference example" as a starting point options. - Removed the start setting in SimpleBounds. Please provide start values via input/reference exa. E.g. via Set Data. - Added a few better error messages for missing references, missing bounds etc
Cheers,
i've just released a new version which adds Powell as an optimization method.
Here is the change log:
Version 0.1.5============= - Added an option to add get candidate results. I.e. more than just the best solution - Evolutionary is now correctly using custom random seeds - Added Powell as an unbounded optimization method - A lot of code improvement for optimizer creation and parameter handling
