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  • JMP will suspend normal business operations for our Winter Holiday beginning on Wednesday, Dec. 24, 2025, at 5:00 p.m. ET (2:00 p.m. ET for JMP Accounts Receivable).
    Regular business hours will resume at 9:00 a.m. EST on Friday, Jan. 2, 2026.
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Learning Resources

Latest Discussions

  • To validate a model, can I compare the optimal conditions with that of the same model with 6 new runs added?

    Here are the optimal conditions for the model comprised of 15 Box Behnken design runs with standard least squares.  The optimal conditions for the model comprised of the same 15 Box Behnken design runs + 6 new runs, yield nearly the same optimal conditions with a slightly lower defect rate to fall within the spec limits.   Could it be statistically justifiable to compare the optimal conditions of ...

    HotellingGnu652 HotellingGnu652
    Discussions |
    Mar 24, 2023 1:04 PM
    1001 views | 1 replies
  • How to perform k-fold cross-validation on ML models (e.g. neural network and random forest) and check model performance on fixed test data?

    I have classification dataset on which I want to fit neural network and random forest model. I am performing the k-fold cross validation for selecting best model.I have separate data (fixed test data) on which I want to test the model performance. How can I pass that data to JMP and get classification report?

    abhinavsharma91 abhinavsharma91
    Discussions |
    Mar 12, 2023 3:36 AM
    2808 views | 1 replies
  • Boosted Tree - Tuning TABLE DESIGN

    I selected Boosted Tree or a regression problem after it came as the best-performing model in model screening.  May I ask how to use the tuning table design to further optimize the performance of boosted tree?

    AlphaPanda86751 AlphaPanda86751
    Discussions |
    Mar 8, 2023 5:19 AM
    2264 views | 2 replies
  • JMP 17 Pro SEM

    Hello, I am using JMP 17 Pro for the multiple-group SEM. When I attempt to create and run the path analysis, I keep getting the error:  Full Information Maximum Likelihood. Failed: Maximum Iterations Exceeded. Then under Model Comparison, there is a *Convergence FAILURE I have attempted to reduce the number of items loaded on my latent variables, and attempted combining latent variables. Is there ...

    KDan KDan
    Discussions |
    Mar 7, 2023 12:48 PM
    1203 views | 1 replies
  • Calculation a p-value in a data table (regression) using row formulae

    Background: Suppose I have rows of x, y data (SN_C, Value [Sigma Units]) as shown in attached file but also pasted below.   Slope_8 is calculated from the previous 8 [x.y] values. I want to compare the slope_8 value to the null hypothesis for linear regression (slope =0) and provide a p-value. Is there an easy way to do this? The formula for the slope 8 was taken from these discussion boards (@txn...

    fat_angus fat_angus
    Discussions |
    Mar 3, 2023 5:11 AM
    1793 views | 2 replies

Latest Discussions

  • To validate a model, can I compare the optimal conditions with that of the same model with 6 new runs added?

    Here are the optimal conditions for the model comprised of 15 Box Behnken design runs with standard least squares.  The optimal conditions for the model comprised of the same 15 Box Behnken design runs + 6 new runs, yield nearly the same optimal conditions with a slightly lower defect rate to fall within the spec limits.   Could it be statistically justifiable to compare the optimal conditions of ...

    HotellingGnu652 HotellingGnu652
    Discussions |
    Mar 24, 2023 1:04 PM
    1001 views | 1 replies
  • JMP 17 Pro SEM

    Hello, I am using JMP 17 Pro for the multiple-group SEM. When I attempt to create and run the path analysis, I keep getting the error:  Full Information Maximum Likelihood. Failed: Maximum Iterations Exceeded. Then under Model Comparison, there is a *Convergence FAILURE I have attempted to reduce the number of items loaded on my latent variables, and attempted combining latent variables. Is there ...

    KDan KDan
    Discussions |
    Mar 7, 2023 12:48 PM
    1203 views | 1 replies
  • Error message for Neural Net With Missing Validation Rows - Suggest Workaround?

    Hello community, I am testing several models as part of JSL loop in JMP 16, using different validation columns to determine how the R2 values change depending on what data is used.  Each validation column contains a subset of the data, with some missing data at the beginning and/or the end of the column.  Other models, such as the Bootstrap, run well simply ignoring missing values but the Neural N...

    c_blanken c_blanken
    Discussions |
    Feb 24, 2023 12:27 AM
    1613 views | 2 replies
  • One hold out cross validation

    Hi, I want to do one hold-out cross-validation for the random forest, but I don't know if JMP pro has this option or not. If it has where can I find it?

    tuo88138 tuo88138
    Discussions |
    Jan 4, 2023 4:06 AM
    11611 views | 10 replies
  • About ANOM for variances

    Hi, I'm now studying the ANOM for variances. I don't understand why it needs at least three groups to start the comparison. Does anyone know the reason behind this?  Thank you!

    GabrielZ GabrielZ
    Discussions |
    Dec 28, 2022 11:28 AM
    1321 views | 1 replies

Latest Discussions

  • XGBoost Add-In for JMP Pro no test set result in model screening

    I'm using model screening and include XGBoost as a method. However the result from XGBoost are only shown in Train set and Validation set.Why the result of XGBoost for test set is not shown? 

    TasapornV TasapornV
    Discussions |
    Aug 25, 2022 12:45 AM
    831 views | 0 replies
  • JMP Pro, Dantzig selector: how do I improve computational time

     Hello JMP community members. Concerning the use of the Dantzig selector on big and sparse datasets.I wondered what features would be at disposal to tune the computational time.Right now it takes about 40 minutes to get a result back for a problem with 380 rows and 149 non-singular parameters. This makes me wonder about the options available to tweak the computation time. I was thinking about redu...

    Not_A_Student Not_A_Student
    Discussions |
    Aug 12, 2022 7:49 AM
    857 views | 0 replies
  • SUR (Seemingly Unrelated Regressions)

    HI, How to find estimators of FGNLS and NLS (Seemingly Unrelated Regressions) Using JmpPro.# Note that it is present in SAS in the proc syslin
    and it is in stat in the nlsur command Regards

    Raaed Raaed
    Discussions |
    May 5, 2022 4:45 PM
    931 views | 0 replies
  • Predictive Modeling Using JMP Pro is Scheduled!

    The Predictive Modeling Using JMP Pro course is scheduled in the Live Web classroom 1:00 pm to 4:30 pm EDT, Monday-Thursday, 11-14APR2022. Learn how to build and understand predictive models such as generalized regression models, support vector machines, naive Bayes, decision trees, and neural networks. We'll also compare complex models and score new data in JMP. Click here for the course page and...

    KathyKiraly KathyKiraly
    Discussions |
    Nov 5, 2021 6:50 AM
    835 views | 0 replies
  • What does it mean when the solution path for Elastic Net is not single-valued?

    Dear JMP Community,   (W10, 64-bit, JMP Pro 15.2.1)   I am running a model to assess the active predictors. I am doing this by using the Autovalidation add-in to generate a Null Factor for my data. I then use the GenReg platform to find estimates for each possible X-factor and then Bootstrap those estimates to get a better assessment of the contributions to the response. I came across a very stran...

    SDF1 SDF1
    Discussions |
    Feb 15, 2021 12:35 PM
    1443 views | 0 replies
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