JMP® Pro, Version 10 Features
Key features exclusive to JMP® Pro, Version 10:
Validation column role in many modeling platforms
Bootstrapping for most statistics in JMP reports
Fit Model platform
Partial least squares implementation allows specification of model terms
Stepwise regression uses train, validate and test methodology
Partition platform
Bootstrap forest and boosted tree techniques
Uses train, validate and test methodology
Model Comparison
Compares the fit of different models
Provides measures of fit, ROC, diagnostic plots and profilers
Contingency platform
Exact measures of association
Oneway platform
Nonparametric exact tests
Neural platform
Automated handling of missing data
Automatic selection of the number of hidden units using boosting
Automated transformation of input variables
Outlier-resistant loss function
Ability to fit both one- and two-layer neural nets
Ability to choose from three activation functions
Ability to save transformed covariates
Ability to save randomly generated cross-validation columns
Uses train, validate and test methodology
PLS platform
Choice of k-fold or Holdback validation methods
More about JMP Pro
Request an evaluation of JMP Pro
JMP for Interactive Data Mining
Contact JMP Sales
877.594.6567 (US)
