Last updated: Feb 11, 2025
The following properties are common to some or all modeling nodes. Any exceptions are noted in the documentation for individual modeling nodes as appropriate.
| 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. |
frequency_field
|
field | |
use_weight
|
flag | |
weight_field
|
field | |
use_model_name
|
flag | |
model_name
|
string | Custom name for new model. |
mode
|
Simple
Expert
|