Regression workflowΒΆ

The regression workflow combines regressor fitting, map prediction and accuracy assessment.

Parameters

Training dataset [file]
Training dataset pickle file used for fitting the regressor.
Regressor [string]
Scikit-Learn Python code specifying a regressor.
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 regressor [fileDestination]
Destination pickle file.
Output regression layer [rasterDestination]
Raster file destination.
Output regressor performance report [fileDestination]
Output report file destination.

Command-line usage

>qgis_process help enmapbox:RegressionWorkflow:

----------------
Arguments
----------------

dataset: Training dataset
    Argument type:  file
    Acceptable values:
            - Path to a file
regressor: Regressor
    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
outputRegressor: Output regressor
    Argument type:  fileDestination
    Acceptable values:
            - Path for new file
outputRegression: Output regression layer (optional)
    Argument type:  rasterDestination
    Acceptable values:
            - Path for new raster layer
outputRegressorPerformance: Output regressor performance report (optional)
    Argument type:  fileDestination
    Acceptable values:
            - Path for new file

----------------
Outputs
----------------

outputRegressor: <outputFile>
    Output regressor
outputRegression: <outputRaster>
    Output regression layer
outputRegressorPerformance: <outputHtml>
    Output regressor performance report