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Last updated: Feb 11, 2025
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"])
Properties |
Values | Property description |
---|---|---|
|
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. |
|
field | Type must be flag. |
|
flag | |
|
flag | Use all: Use all values from source. Specify: Select values required. |
|
[field1 ... fieldN] | |
|
flag | |
|
number | Must be a real number. |
|
number | Must be a real number. |
|
number | Number of iterations. |
|
flag | |
|
number | |
|
number | |
|
number | |
|
|
Specifies whether the offers with the highest or lowest scores will be displayed first. |
|
flag | |
|
flag |
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