Create regression dataset (from table with target and feature fields)

Create a regression dataset from attribute table rows and store the result as a pickle file.

Usage:

1. Open the algorithm from the processing toolbox.

2. Select a table containing your data as well as the fields containing the dependent and independent variables, then click run.

   

3. The output classification dataset will be listed under Models in your Data Sources panel.

Parameters

Table [vector]

Table with feature data X and target data y.

Fields with features [field]

Fields used as features. Values may be given as strings, but must be castable to float.

Fields with targets [field]

Fields used as targets. Values may be given as strings, but must be castable to float.

Outputs

Output dataset [fileDestination]

Pickle file destination.

Command-line usage

>qgis_process help enmapbox:CreateRegressionDatasetFromTableWithTargetAndFeatureFields:

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Arguments
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table: Table
    Argument type:  vector
    Acceptable values:
            - Path to a vector layer
featureFields: Fields with features
    Argument type:  field
    Acceptable values:
            - The name of an existing field
            - ; delimited list of existing field names
targetFields: Fields with targets
    Argument type:  field
    Acceptable values:
            - The name of an existing field
            - ; delimited list of existing field names
outputRegressionDataset: Output dataset
    Argument type:  fileDestination
    Acceptable values:
            - Path for new file

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

outputRegressionDataset: <outputFile>
    Output dataset