Common modeling node properties

Last updated: Jan 17, 2024

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.
`frequency_field`	field
`use_weight`	flag
`weight_field`	field
`use_model_name`	flag
`model_name`	string	Custom name for new model.
`mode`	`Simple` `Expert`