PARTIALDEPEND Procedure
PROC PARTIALDEPEND Features
PROC PARTIALDEPEND provides the following features:
computes partial dependence (PD) for machine learning models that produce an analytic store or DATA step code
produces a PD plot via ODS Graphics if you specify only one analysis variable
computes two-way PD values if you specify two analysis variables
provides an OUTPUT statement to produce a data table that contains individual conditional expectation (ICE) values
provides a FREQ statement for grouped analysis
provides a WEIGHT statement for weighted analysis
Because PROC PARTIALDEPEND runs on SAS Cloud Analytic Services (CAS), it also does the following:
enables you to run on a cluster of machines that distribute the data and the computations
enables you to run in single-machine mode
exploits available cores and concurrent threads