Create classification dataset (from table with categories and feature fields)
Create a classification dataset from attribute table rows that match the given categories and store the result as a pickle file.
Usage:
Open the algorithm from the processing toolbox.
Select a table containing your classes as well as the fields containing features and labels, then click run.
The output classification dataset will be listed under Models in your Data Sources panel.
Parameters
- Table [vector]
- Fields with features [field]
Fields used as features. Values may be given as strings, but must be castable to float.
- Field with class values [field]
- Field with class names [field]
Field used as class name. If not specified, class values are used as class names.
- Field with class colors [field]
Field used as class color. Values may be given as hex-colors, rgb-colors or int-colors.
Outputs
- Output dataset [fileDestination]
Pickle file destination.
Command-line usage
>qgis_process help enmapbox:CreateClassificationDatasetFromTableWithCategoriesAndFeatureFields
:
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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
valueField: Field with class values
Argument type: field
Acceptable values:
- The name of an existing field
- ; delimited list of existing field names
nameField: Field with class names (optional)
Argument type: field
Acceptable values:
- The name of an existing field
- ; delimited list of existing field names
colorField: Field with class colors (optional)
Argument type: field
Acceptable values:
- The name of an existing field
- ; delimited list of existing field names
outputClassificationDataset: Output dataset
Argument type: fileDestination
Acceptable values:
- Path for new file
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Outputs
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outputClassificationDataset: <outputFile>
Output dataset