Process pattern recommendation
This topic describes the process pattern recommendation component.
Features
Process pattern recommendation: Recommends models created by the process pattern modeling component.
This component supports only models created by the process pattern modeling component.
Calculation logic
The process pattern recommendation component classifies and collects historical data. It then detects the current operating condition. Based on the optimization goal, the component learns from historical process operations to recommend optimal target parameter values. This method works well in scenarios with high data noise.
Parameters
IN port
Parameter | Description | Required |
Model application | Select the model type and a specific model. Then, configure the model input data. (Only models from the process pattern modeling component are supported.) | Yes |
Other parameters
Parameter | Description | Required | Default value | Valid values |
Weighted | Specifies whether to apply weights to the recommendation results. | Yes | No |
|
OUT port
Parameter | Description | Required |
OUT | To configure the output parameters, refer to the target variable names in the output preview of the model application. | No |