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Try the Materials Informatics Toolkit, which is designed to easily handle SMILES data. This and other helpful add-ins are available in the JMP® Marketplace
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Level up your Python game with JMP: Visualize and communicate Python models in JMP

Once you build your models in Python, you can bring them into JMP to visualize, understand, and communicate them.

Below are two examples:

  1. Building two models in Python and then visualizing and exploring an Actual by Predicted plot in JMP Graph Builder.
  2. Building a model in Python and then visualizing and communicating it with JMP Prediction Profiler.

 

Example 1: Using JMP Graph Builder to visualize and explore models built in Python

 

Example 2: Using JMP Prediction Profiler to visualize and communicate a model built in Python

To learn more about using the Prediction Profiler, check out the following Mastering JMP recorded webinars:

Using Prediction Profiling to Maximize Model Proficiency - Part 1

Using Prediction Profiling to Maximize Model Proficiency - Part 2

 

 

Last Modified: Sep 24, 2024 1:00 PM