Classification workflowΒΆ
The classification workflow combines classifier fitting, map prediction and accuracy assessment.
Parameters
- Training dataset [file]
- Training dataset pickle file used for fitting the classifier.
- Classifier [string]
- Scikit-Learn Python code specifying a classifier.
- Raster layer with features [raster]
- A raster layer with bands used as features.
- Number of cross-validation folds [number]
The number of folds used for assessing cross-validation performance.
Default: 10
- Open output report in webbrowser after running algorithm [boolean]
Whether to open the output report in the web browser.
Default: True
Outputs
- Output classifier [fileDestination]
- Pickle file destination.
- Output classification layer [rasterDestination]
- Raster file destination.
- Output class probability layer [rasterDestination]
- Raster file destination.
- Output classifier performance report [fileDestination]
- Report file destination.
Command-line usage
>qgis_process help enmapbox:ClassificationWorkflow
:
----------------
Arguments
----------------
dataset: Training dataset
Argument type: file
Acceptable values:
- Path to a file
classifier: Classifier
Argument type: string
Acceptable values:
- String value
raster: Raster layer with features
Argument type: raster
Acceptable values:
- Path to a raster layer
nfold: Number of cross-validation folds (optional)
Default value: 10
Argument type: number
Acceptable values:
- A numeric value
openReport: Open output report in webbrowser after running algorithm
Default value: true
Argument type: boolean
Acceptable values:
- 1 for true/yes
- 0 for false/no
outputClassifier: Output classifier
Argument type: fileDestination
Acceptable values:
- Path for new file
outputClassification: Output classification layer (optional)
Argument type: rasterDestination
Acceptable values:
- Path for new raster layer
outputProbability: Output class probability layer (optional)
Argument type: rasterDestination
Acceptable values:
- Path for new raster layer
outputClassifierPerformance: Output classifier performance report (optional)
Argument type: fileDestination
Acceptable values:
- Path for new file
----------------
Outputs
----------------
outputClassifier: <outputFile>
Output classifier
outputClassification: <outputRaster>
Output classification layer
outputProbability: <outputRaster>
Output class probability layer
outputClassifierPerformance: <outputHtml>
Output classifier performance report