New Extension - Prescriptive Optimization

@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,

Martin

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 ?

BR,

Martin

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?

BR,

Martin

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,

Martin

Hi everybody,

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