You can specify properties for the custom R component through a wizard.
| Property | Description |
|---|---|
| Component Name | Enter a name for the component. Note You cannot rename an
existing custom component.
|
| Component Type | Select the type of the component. |
| Component Description | Enter a description of the component, which will appear as the tooltip for the created component. |
| Property | Description |
|---|---|
| Load R Script | Click to load an R script. |
| Script Editor | Copy and paste or write the R script in the text box. |
| Primary Function Name | Select the name of the function that you want to execute. |
| Input DataFrame | Select the Input DataFrame from the list of parameters. |
| Output DataFrame | Enter a name for the variable that you want to use as OutputDataFrame. |
| Model Variable Name | Enter a name for the variable that you want to use as model variable. |
| Show Visualization | To display the results of the custom component execution in chart format, select this option. |
| Show Summary | To display the algorithm summary after the custom component execution, select this option. |
| Option to save the model | To allow the Save as Model option for the custom component,
select this checkbox. Note If you select Option to save
the model, the Model Variable
Name field is enabled, and Model
Scoring Function Details appears.
|
| Option to Export as PMML | To allow the Export as PMML option for the custom component,
select this checkbox. Note The Option to Export as
PMML checkbox is only enabled, if you select the
Option to save the model.
|
| Model Scoring Function Name | Select the name of the model scoring function that you want to
execute. Note Model Scoring Function fields are only visible if
you selected the Option to save the model
checkbox.
|
| Input DataFrame | Select the Input DataFrame from the list of parameters. |
| Output DataFrame | Enter a name for the variable that you want to use as Output DataFrame. |
| Input Model Variable Name | Select the Input Model Variable Name from the list of parameters. |
| Property | Description |
|---|---|
| Primary Function - Output Table Definition | |
| Consider all columns from previous component or consider none | Select to include or exclude respectively the predicted column of the parent component in the output of custom component. |
| Data Type | Select the Data type for the predicted column of custom component. |
| New Predicted Column Name | Enter a name for the predicted column, which is the output column of the custom component. |
| Primary Function - Property View Definition | |
| Function Parameters | Defined parameters. |
| Property Display Name | Enter a name for the Independent Column and the Dependent column, which will appear in the property view of the custom component. |
| Control Type | Select the Control Type for the Independent Column and the Dependent column. |
| Model Scoring - Output Table Definition | |
| Consider all columns from previous component or consider none | Select to include or exclude respectively the predicted column of the parent component in the output of model scoring. |
| Data Type | Select the Data type for the predicted column of model scoring. |
| New Predicted Column Name | Enter a name for the predicted column, which is the output column of model scoring. |
| Model Scoring - Property View Definition | |
| Function Parameters | Defined parameters. |
| Property Display Name | Enter a name for the column that appears in the property view of the saved model. |
| Control Type | Select the Control Type for the Independent Column and the Dependent column. |