Use a trained Random Trees model to make predictions.
Given predictor variables and a Random Trees model trained for the same set of variables, predict what target class each cell belongs to. The model does not have to be trained for the same extent as the input predictor variables raster.
| Parameter Name | Type | Direction | Data Type | Dialog Reference |
|---|---|---|---|---|
| Input Predictor Variables Raster (*.tif) | Required | Input | Raster Layer | Input raster where cells represent variables that may describe the target classes of the trained model. Must be in TIF format. |
| Input Trained Model (*.JOBLIB) | Required | Input | File | The trained Random Trees model resulting from the Train Random Trees tools. Must be in JOBLIB format. |
| Output Prediction Raster (*.tif) | Required | Output | Raster Dataset | Name of the resulting prediction raster, where the model has predicted what class each cell belongs to. Must be in TIF format. If the directory does not exist, it will be created. |
| Save probability rasters | Required | Input | Boolean |