slrmnode properties

Last updated: Feb 11, 2025

slrmnode properties

SLRM ode icon The Self-Learning Response Model (SLRM) node enables you to build a model in which a single new case, or small number of new cases, can be used to reestimate the model without having to retrain the model using all data.

Example

node = stream.create("slrm", "My node")
node.setPropertyValue("target", "Offer") 
node.setPropertyValue("target_response", "Response")
node.setPropertyValue("inputs", ["Cust_ID", "Age", "Ave_Bal"])

Table 1. slrmnode properties
`slrmnode` Properties	Values	Property description
`target`	field	The target field must be a nominal or flag field. A frequency field can also be specified. See Common modeling node properties for more information.
`target_response`	field	Type must be flag.
`continue_training_existing_model`	flag
`target_field_values`	flag	Use all: Use all values from source. Specify: Select values required.
`target_field_values_specify`	[field1 ... fieldN]
`include_model_assessment`	flag
`model_assessment_random_seed`	number	Must be a real number.
`model_assessment_sample_size`	number	Must be a real number.
`model_assessment_iterations`	number	Number of iterations.
`display_model_evaluation`	flag
`max_predictions`	number
`randomization`	number
`scoring_random_seed`	number
`sort`	`Ascending` `Descending`	Specifies whether the offers with the highest or lowest scores will be displayed first.
`model_reliability`	flag
`calculate_variable_importance`	flag

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