Regression Prediction
Description
Regression Prediction step lets you predict the label based on the model built in ‘Regression Model Builder’ step.
Configurations
| No. | Field Name | Description |
|---|---|---|
| 1 | Step Name | Specify the name of the step. Step names should be unique within a workflow. |
| 2 | Model File | Specify path of the model file built with ‘Regression Model Builder’ Step. This is a mandatory step. |
| 3 | Load Model | Click to load the model and show all the relevant information of the model, like Algorithm, Vectorization algorithm, N Gram, Model parameters. Note: All the values are read-only and only show the values you had selected during ‘Classification Model Builder’ step. This is a mandatory step. |
| Field Mapping tab | ||
| 1 | Feature | Feature name used during model building step |
| 2 | Type | Type of the feature, it can be either String or Number |
| 3 | Field | Field name you want to map to the corresponding feature. It is important you map right field to a feature. |
| 4 | Text Preprocessing | If type is String, preprocessing options to be used to process the string. This is explained in detail in ‘Classification Model Builder’ step. |
| 5 | Target Field | Used to specify field name where value of the predicted label will be put. |