The following properties are common to some or all modeling nodes. Any
exceptions are noted in the documentation for individual modeling nodes as appropriate.
Table 1. Common modeling node properties
Property
Values
Property description
custom_fields
flag
If true, allows you to specify target, input, and other fields for the current node. If
false, the current settings from an upstream Type node are used.
target
or
targets
field
or
[field1 ... fieldN]
Specifies a single target field or multiple target fields depending on the model type.
inputs
[field1 ... fieldN]
Input or predictor fields used by the model.
partition
field
use_partitioned_data
flag
If a partition field is defined, this option ensures that only data from the training
partition is used to build the model.
use_split_data
flag
splits
[field1 ... fieldN]
Specifies the field or fields to use for split modeling. Effective only if
use_split_data is set to True.
use_frequency
flag
Weight and frequency fields are used by specific models as noted for each model type.
About cookies on this siteOur websites require some cookies to function properly (required). In addition, other cookies may be used with your consent to analyze site usage, improve the user experience and for advertising.For more information, please review your cookie preferences options. By visiting our website, you agree to our processing of information as described in IBM’sprivacy statement. To provide a smooth navigation, your cookie preferences will be shared across the IBM web domains listed here.