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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

Discussions |
Apr 7, 2025 8:31 AM

1442 views | 6 replies
Is there a way to perform Cramer von test in JMP?

Hello, Is there a way to perform Cramer von test within JMP? Has anyone tried this?
HotellingSeal96

Discussions |
Apr 6, 2025 3:25 PM

705 views | 1 replies
Is there an equivalent to multicollinearity for categorical variables in JMP?

I'm trying to create a predictive regression model to predict the value of a continuous variable. Not that multicollinearity matters all that much to me since I'm purely looking for prediction, but I have a large number of categorical variables (20+) recorded (along w/ 20+ continuous variables), & I'm looking to do feature selection/variable reduction so as not to over-fit the data, & was wonderi...
mjz5448

Discussions |
Mar 26, 2025 1:16 AM

1450 views | 3 replies
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

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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

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Mar 6, 2025 5:50 AM

1446 views | 4 replies

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Latest Discussions

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

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

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

Discussions |
Feb 6, 2025 6:24 AM

696 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

Discussions |
Jan 31, 2025 7:57 AM

1323 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

Discussions |
Jan 19, 2025 1:24 AM

708 views | 1 replies

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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

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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

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

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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

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

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Jul 2, 2024 5:42 AM

645 views | 0 replies