predictions
|
field
|
Fields in this list can only appear as a predictor of a rule |
conditions
|
[field1...fieldN]
|
Fields in this list can only appear as a condition of a rule |
max_rule_conditions
|
integer |
The maximum number of conditions that can be included in a single rule. Minimum 1, maximum
9. |
max_rule_predictions
|
integer |
The maximum number of predictions that can be included in a single rule. Minimum 1, maximum
5. |
max_num_rules
|
integer |
The maximum number of rules that can be considered as part of rule building. Minimum 1,
maximum 10,000. |
rule_criterion_top_n
|
Confidence
Rulesupport
Lift
Conditionsupport
Deployability
|
The rule criterion that determines the value by which the top "N" rules in the model are
chosen. |
true_flags
|
Boolean
|
Setting as Y determines that only the true values for flag fields are considered
during rule building. |
rule_criterion
|
Boolean
|
Setting as Y determines that the rule criterion values are used for excluding rules
during model building. |
min_confidence
|
number
|
0.1 to 100 - the percentage value for the minimum required confidence level for a rule
produced by the model. If the model produces a rule with a confidence level less than the value
specified here the rule is discarded. |
min_rule_support
|
number
|
0.1 to 100 - the percentage value for the minimum required rule support for a rule produced
by the model. If the model produces a rule with a rule support level less than the specified value
the rule is discarded. |
min_condition_support
|
number
|
0.1 to 100 - the percentage value for the minimum required condition support for a rule
produced by the model. If the model produces a rule with a condition support level less than the
specified value the rule is discarded. |
min_lift
|
integer
|
1 to 10 - represents the minimum required lift for a rule produced by the model. If the model
produces a rule with a lift level less than the specified value the rule is discarded. |
exclude_rules
|
Boolean
|
Used to select a list of related fields from which you do not want the model to create
rules.
Example: set :gsarsnode.exclude_rules = [[[field1,field2, field3]],[[field4, field5]]]
- where each list of fields separated by [] is a row in the table. |
num_bins
|
integer
|
Set the number of automatic bins that continuous fields are binned to. Minimum 2, maximum
10. |
max_list_length
|
integer
|
Applies to any list fields for which the maximum length is not known. Elements in the list up
until the number specified here are included in the model build; any further elements are discarded.
Minimum 1, maximum 100. |
output_confidence
|
Boolean
|
|
output_rule_support
|
Boolean
|
|
output_lift
|
Boolean
|
|
output_condition_support
|
Boolean
|
|
output_deployability
|
Boolean
|
|
rules_to_display
|
upto
all
|
The maximum number of rules to display in the output tables. |
display_upto
|
integer
|
If upto is set in rules_to_display, set the number of rules
to display in the output tables. Minimum 1. |
field_transformations
|
Boolean
|
|
records_summary
|
Boolean
|
|
rule_statistics
|
Boolean
|
|
most_frequent_values
|
Boolean
|
|
most_frequent_fields
|
Boolean
|
|
word_cloud
|
Boolean
|
|
word_cloud_sort
|
Confidence
Rulesupport
Lift
Conditionsupport
Deployability
|
|
word_cloud_display
|
integer
|
Minimum 1, maximum 20 |
max_predictions
|
integer
|
The maximum number of rules that can be applied to each input to the score. |
criterion
|
Confidence
Rulesupport
Lift
Conditionsupport
Deployability
|
Select the measure used to determine the strength of rules. |
allow_repeats
|
Boolean
|
Determine whether rules with the same prediction are included in the score. |
check_input
|
NoPredictions
Predictions
NoCheck
|
|
