|
|
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.
|
Example
node = stream.create("carma", "My node")
# "Fields" tab
node.setPropertyValue("custom_fields", True)
node.setPropertyValue("use_transactional_data", True)
node.setPropertyValue("inputs", ["BP", "Cholesterol", "Drug"])
node.setPropertyValue("partition", "Test")
# "Model" tab
node.setPropertyValue("use_model_name", False)
node.setPropertyValue("model_name", "age_bp_drug")
node.setPropertyValue("use_partitioned_data", False)
node.setPropertyValue("min_supp", 10.0)
node.setPropertyValue("min_conf", 30.0)
node.setPropertyValue("max_size", 5)
# Expert Options
node.setPropertyValue("mode", "Expert")
node.setPropertyValue("use_pruning", True)
node.setPropertyValue("pruning_value", 300)
node.setPropertyValue("vary_support", True)
node.setPropertyValue("estimated_transactions", 30)
node.setPropertyValue("rules_without_antecedents", True)
Table 1. carmanode properties
carmanode Properties |
Values |
Property description |
inputs
|
[field1 ... fieldn]
|
CARMA models use a list of input fields, but no target. Weight and
frequency fields are not used. See the topic 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
|
Simple
Expert
|
The default is Simple. |
exclude_multiple
|
flag
|
Excludes
rules with multiple consequents. The default is False. |
use_pruning
|
flag
|
The default
is False. |
pruning_value
|
number
|
The
default is 500. |
vary_support
|
flag
|
|
estimated_transactions
|
integer
|
|
rules_without_antecedents
|
flag
|
|
