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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

  • Simulating clusters using K Means - Negative Values

    Hi,When I simulate clusters from the K Means platform I get some negative simulated values for one of my variables which, in practical terms, can only be positive. Looking at the original distribution of this variable, it is non-normal and bounded at zero (so something like a log-normal distribution fits it well). Is there a way to ensure the data generated from the cluster simulation remains posi...

    Alicia_500 Alicia_500
    Discussions |
    Mar 19, 2025 7:13 AM
    829 views | 2 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

  • Bootstrap Forest Platform > "validation" column vs "validation" portion

    2 (basic?) questions about Bootstrap forest platform:- So I can specify a validation column, tagging the records as "training", "validation" or "test" (60%,20%,20%).
    But there is also a "validation Portion" option (default as 0). What is this portion ? And is it discarded if validation column is specified ? - I provide validation records, so I assume the platform will run hyperparams optimization. ...

    LargeDormouse25 LargeDormouse25
    Discussions |
    Mar 4, 2025 12:40 PM
    1100 views | 3 replies

  • How to use the Torch deep learning tool?

    Can someone suggest how to use the Troch deep learning tool for continuous data to optimizing the Additive manufacturing parameter

    Sankaramuthu Sankaramuthu
    Discussions |
    Feb 27, 2025 8:06 AM
    703 views | 1 replies

  • Using JMP 16 to build a predictive model

    Hi everyone,I am a PhD student.   One of my research plans is to build a predictive model for erosion rate. Erosion rate is the dependent variable and (the impact angle, impact velocity, solid content, material hardness, and particle diameter) are the independent variables. I just installed JMP 16, and I do not have that much experience with it. I am asking if it is possible to use this software t...

    AliAl-Darraji AliAl-Darraji
    Discussions |
    Feb 12, 2025 4:36 AM
    1550 views | 5 replies

Latest Discussions

  • 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

  • compare results

    Hello,
    How can I perform a statistical test in JMP to ensure that the results obtained from different classification methods are not due to randomness after obtaining various results? 

    maryam_nourmand maryam_nourmand
    Discussions |
    Jan 31, 2025 7:57 AM
    1329 views | 4 replies

  • How do I save the output report statistics of Neural predictive model performance? because they change every time I open the neural report.

    I know that I can save the formula to predict the responses but to evaluate the model I need to keep the model statistics, and it changes every time I open the neural report. If someone can provide me with some guidance, I need to be able to open the neural report more than just once. 

    Ayman_Aljazzar Ayman_Aljazzar
    Discussions |
    Jan 19, 2025 1:24 AM
    708 views | 1 replies

  • Mixture design with special constraints

    Good morning,

    The aim is to test mixtures of components to target a continuous variable Z.

    To achieve this, the blend must contain one (and only one) component from each of the following familly (these categories are made up of components with similar characteristics), plus glycerine (systematically):
    Family 1: A, B
    Family 2: C, D
    Family 3: E, F, G, H, I, J
    Family 4: glycerine

    Two intermediate continuous...

    Ed_F Ed_F
    Discussions |
    Jan 13, 2025 4:43 AM
    977 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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