This step essentially just adds metadata to the input columns to ensure Graphext knows that these columns define network links and that they belong to the same set of links (there can be multiple “layers” of links in the same dataset). But it also makes sure all links are valid. E.g. that they don’t refer to rows that don’t exist, that attributes match the number of target rows etc.

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Usage

The following example shows how the step can be used in a recipe.

Examples

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Inputs & Outputs

The following are the inputs expected by the step and the outputs it produces. These are generally columns (ds.first_name), datasets (ds or ds[["first_name", "last_name"]]) or models (referenced by name e.g. "churn-clf").

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Configuration

The following parameters can be used to configure the behaviour of the step by including them in a json object as the last “input” to the step, i.e. step(..., {"param": "value", ...}) -> (output).

Parameters