The CARMA model extracts a set of rules from the data without requiring you to
specify input or target fields. In contrast to Apriori, the CARMA node offers build settings for
rule support (support for both antecedent and consequent) rather than just antecedent support. This
means that the rules generated can be used for a wider variety of applications—for example, to find
a list of products or services (antecedents) whose consequent is the item that you want to promote
this holiday season.
CARMA models use a list of input fields, but no target. Weight and frequency fields are not
used. See Common modeling node properties for
more information.
id_field
field
Field used as the ID field for model building.
contiguous
flag
Used to specify
whether IDs in the ID field are contiguous.
use_transactional_data
flag
content_field
field
min_supp
number(percent)
Relates to rule support rather than antecedent support. The default
is 20%.
min_conf
number(percent)
The default is 20%.
max_size
number
The default
is 10.
mode
SimpleExpert
The default is Simple.
exclude_multiple
flag
Excludes
rules with multiple consequents. The default is False.
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