Create unsupervised dataset (from vector layer with attribute table)

Create an unsupervised dataset from attribute table and store the result as a pickle file.

Usage:

1. Open the algorithm from the processing toolbox.

2. Select a vector layer containing your features, then click run.

   

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

Parameters

Vector layer [vector]

Vector layer specifying feature data X.

Fields with features [field]

Fields with values used as feature data X.

Outputs

Output dataset [fileDestination]

Pickle file destination.

Command-line usage

>qgis_process help enmapbox:CreateUnsupervisedDatasetFromVectorLayerWithAttributeTable:

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Arguments
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vector: Vector layer
    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
outputUnsupervisedDataset: Output dataset
    Argument type:  fileDestination
    Acceptable values:
            - Path for new file

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Outputs
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outputUnsupervisedDataset: <outputFile>
    Output dataset