Requirements and Known Issues

The modeling nodes, JMP Boosted Tree, JMP Bootstrap Forest, and JMP Neural, require JMP Pro. They fail with error messages when standard JMP is used.

The nodes work in a SAS Enterprise Miner client/server configuration, provided that JMP Pro, the SAS Server, and the SAS Enterprise Miner client are all on the same machine. This includes SAS Enterprise Miner desktop, SAS Enterprise Miner classroom, SAS Enterprise Miner workstation, or a three-tier, single-machine install of SAS Enterprise Miner. The modeling nodes do not currently run in a multi-machine deployment of SAS Enterprise Miner.

The modeling nodes accept a single target variable only. If there are more targets, an error condition is triggered.

SAS syntax errors can occur if the input data set has many predictors, predictors with long names, or both. If you see syntax errors along with a Truncated Record warning in the SAS log, set a high value for the LRECL option in your project start-up code. Here is an example: OPTIONS LRECL=5000;.

SAS syntax errors can occur with long variable names (approximately 25 characters or more) and string data values that have embedded quotation marks, such as "isn't". If you encounter syntax errors, try using shorter variable names, and transform any input strings that have embedded quotation marks or apostrophes.

Under certain conditions, there can be discrepancies between the results reported by JMP and those reported by SAS Enterprise Miner. To avoid these discrepancies, set the Number of Terms property to its default value of 1 for Bootstrap Forest models, impute missing data values, or both. Specifically, if you have missing predictor values, use the default value for the Number of Terms property. If you need to change the Number of Terms property, then impute missing predictor values before you run the node.