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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

Find courses, tutorials, and lots of other methods of learning JMP.

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Latest Discussions

  • Problems with Reproducibility

    I teach using JMP and I became aware of some reproducibility problems in the following cases:   1) My students who use different operating systems like windows and MacOS get different results from models that require randomization like NN even if they use the same random seed like 123. This problem is frustrating because assignments that use a random seed for reproducibility reasons are supposed t...

    onurseref onurseref
    Discussions |
    Apr 27, 2025 6:45 PM
    1639 views | 5 replies

  • Conceptual question about validation

    I'm hoping that people with a better statistical background than I have can shed some light on this question.  JMP has robust validation capabilities for all predictive modeling, including cross validation (though not in the Fit Model platform, except for the capability of using a validation set).  Data scientists routinely partition their data into training and validation (and sometimes test) dat...

    dlehman1 dlehman1
    Discussions |
    Apr 23, 2025 10:28 AM
    2589 views | 11 replies

  • Bootstrap f2 study timepoints used

    Hello,   I have not been able to find if the bootstrap f2 test applies the more than 85% dissolution discarding rule or it only signals these values in yellow. Does anyone know?   Thank you

    V_Med V_Med
    Discussions |
    Apr 23, 2025 5:55 AM
    553 views | 1 replies

  • cross validation using k-fold fit quality

    I am using Lasso fit with leave one out or K-fold cross validation. Please advise the best way to view the R square and other fit quality metrics (e.g., AIC) in the output. It would be helpful to have this for the training set and the validation set (average of all hold outs).  

    daniel_s daniel_s
    Discussions |
    Apr 7, 2025 3:38 PM
    2159 views | 7 replies

  • Python Code unable to generate output in JSL (JMP 17 Pro)

    Hello All,   I have a JSL script that creates a Datatable, and I have a python code block within the JSL script which I want to pass the DataTable to make predictions on the DataTable using a trained machine learning model. Before the python code block, the DataTable is accessible and even opens in JMP. However, after the python code block when I try to access the predictions made by the neural ne...

    dmanu221993 dmanu221993
    Discussions |
    Apr 7, 2025 8:31 AM
    1442 views | 6 replies

Latest Discussions

  • Conceptual question about validation

    I'm hoping that people with a better statistical background than I have can shed some light on this question.  JMP has robust validation capabilities for all predictive modeling, including cross validation (though not in the Fit Model platform, except for the capability of using a validation set).  Data scientists routinely partition their data into training and validation (and sometimes test) dat...

    dlehman1 dlehman1
    Discussions |
    Apr 23, 2025 10:28 AM
    2589 views | 11 replies

  • Bootstrap f2 study timepoints used

    Hello,   I have not been able to find if the bootstrap f2 test applies the more than 85% dissolution discarding rule or it only signals these values in yellow. Does anyone know?   Thank you

    V_Med V_Med
    Discussions |
    Apr 23, 2025 5:55 AM
    553 views | 1 replies

  • Python Code unable to generate output in JSL (JMP 17 Pro)

    Hello All,   I have a JSL script that creates a Datatable, and I have a python code block within the JSL script which I want to pass the DataTable to make predictions on the DataTable using a trained machine learning model. Before the python code block, the DataTable is accessible and even opens in JMP. However, after the python code block when I try to access the predictions made by the neural ne...

    dmanu221993 dmanu221993
    Discussions |
    Apr 7, 2025 8:31 AM
    1442 views | 6 replies

  • AI Optimization in JMP Pro ByTorch

    Hi all,Is it possible to use the JMP Pro Torch deep learning model to use it for AI Optimization for process parameter.If it is so what are all the AI techniques are available in JMP Pro Torch deep learning.Please suggest.

    Sankaramuthu Sankaramuthu
    Discussions |
    Mar 6, 2025 5:50 AM
    1446 views | 4 replies

  • I am very new user to JMP. Can you explain this function for me?

    I am very new to the JMP program and I was assigned to translate this code into Python. I don't understand what is this function used for so I can't completely convert the code to Python.

    col_string = ":FPC 1,:FPC 2,:FPC 3,:FPC 4,:FPC 5,:FPC 6,:FPC 7,:FPC 8,:FPC 9,:FPC 10"; // generate and evaluate a string that defines the Gen Reg Model for all FPCs Eval( Parse( "GenRegFit = dT << Fit Mod...

    LinkageAntelope LinkageAntelope
    Discussions |
    Feb 6, 2025 6:24 AM
    697 views | 2 replies

Latest Discussions

  • Sample size for Reliability Life Test

    I have used the interval explorer for parametric reliability life test planning for sample size calculation of accelerated life test. Please can someone confirm if the sample size returned is the total sample size or sample size per stress levels? Assuming I have 3 temperature levels, do I use 75 samples per temperature level or 25?

    EngrAkin EngrAkin
    Discussions |
    Dec 11, 2024 7:11 AM
    687 views | 0 replies

  • Could JMP show in a single graph a sensitivity analysis and the probability of occurrence of a result?

    Hello Community!Attached is the script "Hogi chart calculates risk and probability", an excellent work by HOGI ... which calculates the risks and probabilities of occurrence of an input or multiple inputs (x), of an output or multiple outputs (Y) or their combination in a table. For example:Would it be possible to expand the capacity of the script to make a sensitivity analysis of the inputs (x) o...

    Marco2024 Marco2024
    Discussions |
    Oct 2, 2024 5:15 PM
    705 views | 0 replies

  • Multinomial Logistic Regression Confidence for Specific Parameter Changes

    Hi,  I have a multinomial logistic regression of 3 classes: 0, 1, and 2 and have associated individual models (via Fit Y by X) for N parameters. I am now looking into a sensitivity like study in which each parameter is assumed at certain levels (e.g. at min, max etc..). I have probabilities computed at each such parameter level. I like to rank order probability change in each class (0, 1 and 2) du...

    altug_bayram altug_bayram
    Discussions |
    Sep 5, 2024 9:02 AM
    805 views | 0 replies

  • Building and validating zero-inflated negative binomial regression models

    Dear JMP community,I am presented with a problem of building a model using over-dispersed zero-inflated count data. I hope you can help me with this.I have attached both training and validation datasets to this post. My objective is to build my model on the training dataset and validate it using the validation dataset. I have not worked with such count data before and therefore do not know validat...

    stat_ranger stat_ranger
    Discussions |
    Sep 4, 2024 1:57 AM
    1038 views | 0 replies

  • Hyperparameters and neural network architecture

    Hello,I'm trying to reproduce the results obtained on JMP with the "Neural" model by adding nested cross-validation, which is not possible on the software. However, the architecture is very unclear and I can't understand the calculations performed by the model. I don't have access to certain information such as batch size, optimizer used, loss, learning rate (except the one for the boosting), and ...

    Grizzly Grizzly
    Discussions |
    Jul 2, 2024 5:42 AM
    645 views | 0 replies
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Revolutionizing Spectral Baseline Correction in JMP: Harness the Power of Python Integration

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