The PARTITION statement specifies how observations in the input data set are logically partitioned into disjoint subsets for
model training, validation, and testing. Either you can designate a variable in the input data set and a set of formatted
values of that variable to determine the role of each observation, or you can specify proportions to use for random assignment
of observations for each role.
An alternative to using a PARTITION statement is to provide a variable named _ROLE_ in the input data set to define roles of observations in the input data. If you specify a PARTITION statement, then any _ROLE_ variable in the input data set is ignored. If you do not use a PARTITION statement and the input data do not contain a variable
named _ROLE_, then all observations in the input data set are assigned to model training.
You can specify either (but not both) of the following options:
-
ROLEVAR=variable (<TEST=value> <TRAIN=value> <VALIDATE=value>)
ROLE=variable (<TEST=value> <TRAIN=value> <VALIDATE=value>)
-
names the variable in the input data set whose values are used to assign roles to each observation. The TEST=, TRAIN=, and
VALIDATE= suboptions specify the formatted values of this variable that are used to assign observations roles. If you do not
specify the TRAIN= suboption, then all observations whose role is not determined by the TEST= or VALIDATE= suboptions are
assigned to training. If you specify a TESTDATA= data set in the PROC QUANTSELECT statement, then you cannot also specify the TEST= suboption in the PARTITION statement.
If you specify a VALDATA= data set in the PROC QUANTSELECT statement, then you cannot also specify the VALIDATE= suboption in the PARTITION statement.
-
FRACTION(<TEST=fraction> <VALIDATE=fraction>)
-
requests that specified proportions of the observations in the input data set be randomly assigned training and validation
roles. You specify the proportions for testing and validation by using the TEST= and VALIDATE= suboptions. If you specify
both the TEST= and the VALIDATE= suboptions, then the sum of the specified fractions must be less than 1 and the remaining
fraction of the observations are assigned to the training role. If you specify a TESTDATA= data set in the PROC QUANTSELECT statement, then you cannot also specify the TEST= suboption in the PARTITION statement.
If you specify a VALDATA= data set in the PROC QUANTSELECT statement, then you cannot also specify the VALIDATE= suboption in the PARTITION statement.
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