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Learning Resources

Latest Discussions

Latest Discussions

Latest Discussions

  • Error add-in manager :AddinID == selectionID

    I am taking the above error once i click to build currently selected add-in button at the add-in manager.  Error Message: {"Send Expects Scriptable Object"(1, {23}, 2, "Send", here:addinTable << /*###*/get rows where(:AddinID == selectionID) /*###*/)} Error: Send Expects Scriptable Object 1 time(s). Data Table Indices: 23 Type: Error Function Name: Send Function being executed: here:addinTab...

    Georgios_Tsim Georgios_Tsim
    Discussions |
    Oct 29, 2024 6:41 AM
    359 views | 0 replies
  • JMP 18 Addins on Server - Change in Location

    FYI from JMP tech support:   If you are running JMP on a server, note that JMP 16 addins do not work for JMP 18 because the file paths have changed.  JMP is no longer part of SAS so the file path changed from C:\ProgramData\SAS\JMP\addIns to C:\ProgramData\JMP\JMP\addIns

    Changing your file path to C:\ProgramData\JMP\JMP\addIns will make addins visible for JMP version 18.

    pmroz pmroz
    Discussions |
    Oct 29, 2024 5:58 AM
    368 views | 0 replies
  • How do I replace a prediction expression in a fit model with a specific expression?

    Hi, I am completing a DOE and I have ran a fit model using the JMP software to define a design space based on desirability of certain variables, however one of the desirability variables is a simple ratio of two of the construct model effects, however when running the model, the model is defining its own prediction expression for this variable rather than using the formula in the data table. Does ...

    supermackie93 supermackie93
    Discussions |
    Oct 24, 2024 5:40 AM
    294 views | 0 replies
  • One-Versus-Rest (OVR)  and the One-Versus-One (OVO) LDA

    Hello, I'm looking for a way to test a different LDA strategy than the standard One-off (or hand-out) method when trying to predict a categorical response with multiple classes. I'm particularly interested in the One-Versus-Rest (OVR)  (also referred to as One-Versus-All or OVA)  and the One-Versus-One (OVO) strategies. So, instead of using the default One-off LDA which seeks to solve the classica...

    Quentin26 Quentin26
    Discussions |
    Oct 24, 2024 1:29 AM
    413 views | 0 replies
  • XGbbost training, validation and testing

    Hello,I have a question about handling test datasets in XGBoost. Here's my current approach:I'm using 10-fold cross-validation for model training and validationI keep a separate test dataset completely excluded during this training phase (hide and exclude in the table before launching the model)After training, I manually generate predictions on this test dataset (save predicted to table and I unhi...

    Sburel Sburel
    Discussions |
    Oct 23, 2024 11:00 AM
    324 views | 0 replies
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