Prediction
Description
Prediction step lets you predict the label based on the model built in ‘Classification Model Builder’ step.
Configurations
| No. | Field Name | Description |
|---|---|---|
| Model Tab | ||
| 1 | Predict using AE Model Version | Select the Python version you will use for building the model. Note: The Python version you select must be same as the version you have saved in the python folder or added to the environment variable. |
| 2 | Model File | Used to specify path of the model file built with ‘Classification Model Builder’ Step |
| 3 | Load Model | Used to load the model and show all the relevant information of the model, like Algorithm, Vectorization algorithm, N Gram, Model parameters. All these values are read-only and only show you the values you had selected during ‘Classification Model Builder’ 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 |
| 6 | Prediction Confidence | Used to indicate if you would also want prediction confidence. This field is clickable only when algorithm used for model building supports prediction confidence |
| 7 | Prediction Confidence for all classes | Used to indicate if you would also like prediction confidence for all the classes. Say possible prediction values are ‘A’, ‘B’ and ‘C’, clicking this field will give you prediction confidence for all these labels/classes. This field is clickable only when algorithm used for model building supports prediction confidence |