ANNOUNCEMENT: RAPIDMINER 9.1 HAS BEEN RELEASED TODAY - DEC 13, 2018!   PLEASE DOWNLOAD AND GIVE FEEDBACK. ENJOY AND HAPPY RAPIDMINING!   -- @sgenzer – Community Manager

New Extension - Prescriptive Optimization

mschmitzmschmitz Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert Posts: 1,829  RM Data Scientist
edited December 1 in Help

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

- Head of Data Science Services at RapidMiner -
Dortmund, Germany
Telcontar120sgenzerThomas_Ottlionelderkrikor

Answers

  • Thomas_OttThomas_Ott RapidMiner Certified Analyst, RapidMiner Certified Expert, Member Posts: 1,762   Unicorn

    @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!!!

    sgenzer
  • mschmitzmschmitz Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert Posts: 1,829  RM Data Scientist

    @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

    - Head of Data Science Services at RapidMiner -
    Dortmund, Germany
    Thomas_Ott
  • sgenzersgenzer Administrator, Moderator, Employee, RapidMiner Certified Analyst, Community Manager Posts: 1,886  Community Manager

    FYI you can now hyperlink directly to the extension in the marketplace in Studio:

     

    rapidminer://extension/rmx_prescriptive_analytics

     

    Scott

     

  • mschmitzmschmitz Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert Posts: 1,829  RM Data Scientist

    Hi All,

     

    i just released a new version with an additional optimization method.

     

    Any feedback? Maybe @Thomas_Ott ?

     

    BR,

    Martin

    - Head of Data Science Services at RapidMiner -
    Dortmund, Germany
    sgenzerPavithra_Rao
  • kypexinkypexin Moderator, RapidMiner Certified Analyst, Member Posts: 193   Unicorn

    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:

     

    Repository_Browser_and__new_process__–_RapidMiner_Studio_Large_8_2_000___ATLL10050_local.png

  • mschmitzmschmitz Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert Posts: 1,829  RM Data Scientist

    @kypexin,

    are you running 9.0?

     

    BR,

    Martin

    - Head of Data Science Services at RapidMiner -
    Dortmund, Germany
    sgenzer
  • kypexinkypexin Moderator, RapidMiner Certified Analyst, Member Posts: 193   Unicorn

    Yep I think it was the reason. I am still on version 8. Time to update... :)

    sgenzer
  • mschmitzmschmitz Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert Posts: 1,829  RM Data Scientist

    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

    - Head of Data Science Services at RapidMiner -
    Dortmund, Germany
    sgenzer
  • mschmitzmschmitz Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert Posts: 1,829  RM Data Scientist

    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
    - Head of Data Science Services at RapidMiner -
    Dortmund, Germany
    sgenzer
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