New in JMP Pro 13 (Web Text; Updates for JMP 13)

Daniel_Valente

INTERNAL USE ONLY: This document is internal use only at this time.

This is an update to the New in JMP Pro 12 text for JMP 13

 

We need a luck and serendipity message here for JMP Pro 13. Below are the features.

 

1. Text Explorer Analytics
2. Generalized Regression improvements
3. Repairable Systems Simulation (RSS)
4. Gaussian Process fitting of larger problems
5. Mixed Models, additional covariance structures
6. General simulation functionality
7. Association Analysis
8. Stochastic Gradient Boosting -- General New Features in Partition > Boosted Trees and Bootstrap Forest.
   1. Stochastic Gradient Decent
   2. Tuning Design Table
   3. Features for teaching and training: ability to set a random seed and suppress multithreading so that you can get exactly repeated results from these models.
9. Hierarchical Bayes for choice models.
10. Formula Depot + Output SQL/SAS/C Scoring Code for JMP Pro Models
    1. Previous versions of JMP.
       
    2. In previous versions of JMP Pro, it was a challenge to take
       
    3. Re: scoring -- we don't want to be in the business of model management. JMP makes it easy to deploy useful models built in JMP to a variety of systems by generating C, SQL, SAS (ds2), Python and Javascript code that can be put into production with fewer roadblocks than JSL scripts. Score code creation in JMP Pro is a lightweight thing.
    4.