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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.
  • We’re retiring the File Exchange at the end of this year. The JMP Marketplace is now your destination for add-ins and extensions.
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Welcome to the JMP User Community!

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Learning Resources

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

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Latest Discussions

  • hybrid models

    Why doesn't a large and powerful program like JMPPRO contain hybrid models in time series such as the ARIMA-ANN model, ARMAX model, and others?

    Raaed Raaed
    Discussions |
    May 31, 2024 9:43 AM
    785 views | 0 replies

  • data preprocessing

    Hello
    I want to apply non-parametric methods such as Decision Tree, Random Forest, Naive Bayes, SVM, Neural Network, and Boosted Tree on my dataset. What preprocessing steps should I perform before applying these models?

    maryam_nourmand maryam_nourmand
    Discussions |
    May 28, 2024 4:46 AM
    2245 views | 3 replies

  • Functional Data Explorer with validation column

    I have a data set with 40 NIR spectra with rows as functions. The data set is split up in a training and validation set using a cutpoint valdiation column; 10 last rows are validation.Running FPCA analyis only the training set is fitted as shown below? How do we know if fitting of the valdation set is OK using the training model? No fitting for validation set ?I assume also the diagnostic plot onl...

    frankderuyck frankderuyck
    Discussions |
    May 25, 2024 3:03 AM
    1474 views | 2 replies

  • SVEM: ¿Neural network or Lasso?

    I am conducting a prediction model study with DoE mixtures (3 components) and a process factor and a response variable (quantitative). I am going to apply SVEM, but I have a question, what does it depend on when using Neural Networks or Lasso? Thank you for your answers.

    CrhistianDoE CrhistianDoE
    Discussions |
    May 25, 2024 2:27 AM
    1610 views | 1 replies

  • neural network

     Hello, when we fit a neural network model to a dataset and select the save formula option, the results are saved. For example, if I want to see the formula for H1_1, it is written as: 0.5 * ((-12.824088735563) + Match( :sex, 0, 6.99084931122274, 1, -(6.99084931122274 + 0) ) + -0.166405890007763 * :weight+0.436280476305382 * :age + 2.18056058975802 * :tumor size + Match( :family, 0, -3.24492142132...

    maryam_nourmand maryam_nourmand
    Discussions |
    May 23, 2024 3:41 AM
    1059 views | 2 replies

Latest Discussions

  • hybrid models

    Why doesn't a large and powerful program like JMPPRO contain hybrid models in time series such as the ARIMA-ANN model, ARMAX model, and others?

    Raaed Raaed
    Discussions |
    May 31, 2024 9:43 AM
    785 views | 0 replies

  • SVEM: ¿Neural network or Lasso?

    I am conducting a prediction model study with DoE mixtures (3 components) and a process factor and a response variable (quantitative). I am going to apply SVEM, but I have a question, what does it depend on when using Neural Networks or Lasso? Thank you for your answers.

    CrhistianDoE CrhistianDoE
    Discussions |
    May 25, 2024 2:27 AM
    1610 views | 1 replies

  • neural network

     Hello, when we fit a neural network model to a dataset and select the save formula option, the results are saved. For example, if I want to see the formula for H1_1, it is written as: 0.5 * ((-12.824088735563) + Match( :sex, 0, 6.99084931122274, 1, -(6.99084931122274 + 0) ) + -0.166405890007763 * :weight+0.436280476305382 * :age + 2.18056058975802 * :tumor size + Match( :family, 0, -3.24492142132...

    maryam_nourmand maryam_nourmand
    Discussions |
    May 23, 2024 3:41 AM
    1059 views | 2 replies

  • publish prediction formula

    hello.
    i have a question
    i need the python code of the neural method ,for this reason i use publish prediction formula part
    but when i run the code i get an error :
    ((ModuleNotFoundError Traceback (most recent call last) ~\AppData\Local\Temp\ipykernel_11660\144293927.py in <module> 1 from __future__ import division ----> 2 import jmp_score as jmp 3 from math import * ...

    maryam_nourmand maryam_nourmand
    Discussions |
    May 22, 2024 11:12 AM
    1319 views | 2 replies

  • Deploying JMP Clinical in an enterprise environment

    We are looking for an enterprise solution for JMP software being used currently. It should be web based where nothing is installed in personal computers/ laptops. Scientists can log on to web-based solution and pull data from Data Lake, do their analysis and create visualizations in form of bar graph/ charts on pre-clinical data just like they do in JMP today. Multiple people can use this solution...

    MomentLadybug67 MomentLadybug67
    Discussions |
    May 15, 2024 6:23 AM
    1311 views | 2 replies

Latest Discussions

  • hybrid models

    Why doesn't a large and powerful program like JMPPRO contain hybrid models in time series such as the ARIMA-ANN model, ARMAX model, and others?

    Raaed Raaed
    Discussions |
    May 31, 2024 9:43 AM
    785 views | 0 replies

  • JMP Broadcasting statistical analysis

    We want to investigate the way which is suitable for searching predict and forecasting of medical region.
    For example, using stepwise parameter analysis, partial results of marketing will be used by data driven.
    Moreover we want to develop marketing extensive predictive analysis from marketing perspective.

    JMPLOVE1234 JMPLOVE1234
    Discussions |
    Apr 15, 2024 1:49 AM
    721 views | 0 replies

  • FDE - How does JMP deal with sparse data if user doesn't perform pre-alignment?

    Hi, My question refers to the situation where the user doesn't opt for Direct Functional PCA (Functional Data Explorer Platform Options). By pre-aligment I refer, for instance, to the functions `Reduce` and `Align` detailed in Data Processing Options.I would like to know if, for sparse data (Overview of the Functional Data Explorer Platform), JMP performs an automatic alignment if the user doesn't...

    ConstructCoyote ConstructCoyote
    Discussions |
    Mar 11, 2024 3:00 AM
    709 views | 0 replies

  • Neural networks that learn and predict in real time (incremental learning)

    Hello community!!A query:- How JMP is configured to generate neural networks that learn from their inputs in real time (incremental learning) in such a way that it continually updates its weights according to new inputs and generates updated real-time predictions.Greetings,Marco

    Marco2024 Marco2024
    Discussions |
    Mar 4, 2024 9:37 AM
    849 views | 0 replies

  • ann armax model

    how can make ann armax hybrid model such Matlab

    Raaed Raaed
    Discussions |
    Mar 1, 2024 7:50 AM
    860 views | 0 replies
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Revolutionizing Spectral Baseline Correction in JMP: Harness the Power of Python Integration

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