This Profiler is embedded -- that is, displayed in the context of its platform report.
This personality of the Fit Model enables you to model both the expected value and the variance of a response using regression models. The following example from the Injection Molding sample data set runs the "Model" script in the data table, and then from the red triangle menu under the Profiler submenu, I select "Profiler". The output can be published to JMP Public or JMP Live using the Publish option under the File menu. The content below is hosted on JMP Public and embedded in this blog using an iframe.
The Partition platform recursively partitions data according to a relationship between the predictors and response values, creating a decision tree. It is important to note that currently we still only support continuous responses where the platform fits the means of the response values; so while responses can be categorical in the JMP Partition platform, it is not yet implemented in Interactive HTML and will come out as an image within the larger interactive report. However, there are still plenty of continuous examples, such as this one taken from the diabetes data set.
Boosted Trees and Bootstrap Forest
These two platforms are available only in JMP Pro, and are related to the Partition platform, making use of multiple decision trees. Head over to JMP Public to see a few examples of the Profilers in these platforms.