Understanding the costs, licensing models, and hardware requirements is a critical step for anyone considering adopting JMP Pro 17.
System Requirements: JMP 17 Pro is a native 64-bit application. It requires Windows 10/11 (or macOS 11+), 8GB RAM (16GB recommended), and 3GB of hard drive space. For the Pro features, a CPU with at least 4 cores (6+ recommended) is strongly advised.
No other GUI-based statistical software offers this level of deployment portability. Your JMP 17 Pro model can go directly into production. jmp 17 pro
The Model Screening platform in version 17 allows users to run multiple predictive models simultaneously. You can fit Generalized Regression, Decision Trees, Neural Networks, and Support Vector Machines across the same data splits in a single click. JMP Pro then provides a unified dashboard ranking the models by performance metrics like R-squared, RMSE, or AUC (Area Under the Curve), drastically reducing model selection time. Functional Data Analysis (FDA)
JMP Pro is specifically built for advanced users, predictive modeling, and handling complex or high-dimensional data. Key additions include: Wavelet Modeling in Functional Data Explorer (FDE): For the Pro features, a CPU with at
The data world is moving toward "augmented analytics"—tools that suggest insights rather than just calculating them. leans into this trend with automated model selection and outlier detection alerts. Yet, it retains the tactile, visual "drag-and-drop" interactivity that has always set JMP apart.
For existing users upgrading from JMP 16 Pro: The Model Screening platform in version 17 allows
: Version 17 Pro is optimized for handling the large, wide datasets common in genomics, reportedly performing analyses in minutes that previously took hours by keeping data in-memory. User Perspectives Spectral analysis in JMP 17 and JMP Pro 17
JMP 17 Pro offers flexibility for different scales of operation:
One overlooked feature is the generator. After building a boosted tree model in JMP 17 Pro, you can export that model as: