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JMPer Cable

A technical blog for JMP users of all levels, full of how-to's, tips and tricks, and detailed information on JMP features
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Peter_Hersh
Staff Peter_Hersh
Staff
Level up your Python game: Using DOE tools in JMP® to efficiently tune hyperparameter settings in Python
Created: Dec 11, 2024 09:00 AM

This blog post shows a method to tune hyperparameters to improve your model performance, utilizing space filling DOE along with the new Python integration. 

 

This video shows some of the common techniques used to tune hyperparameters to improve model performance.

(view in My Videos)

This video gives a brief summary of Bayesian optimization and some of the limitations.

(view in My Videos)

This video shows how JMP can be used in conjunction with Python to improve you model performance by efficiently exploring and tuning hyperparameters in JMP.

(view in My Videos)

 

TensorFlow Tuning Oct 31.py
Fast Flexible Filling Design Keras Test.jmp
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Last Modified: Dec 16, 2024 1:21 PM
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