link_rows_by_rownum
Create network links using explicit lists of target row numbers and optional weights.
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.
Usage
The following example shows how the step can be used in a recipe.
Examples
Examples
To simply link rows using a default weight of 1.0
To simply link rows using a default weight of 1.0
General syntax for using the step in a recipe. Shows the inputs and outputs the step is expected to receive and will produce respectively. For futher details see sections below.
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").
Inputs
Inputs
Outputs
Outputs
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
Parameters
Name of the column acting as the weights of the links.
Must refer to one of the optional columns passed to the step. If null, an extra
output column will be created containing a weight of 1.0 for each link defined in
the target column (unless a weight_factor is applied, in which the weights will
have the corresponding value, see below).
Multiply link weights by this number.
If an input column with weights was identified using weight_column, the values
in that column will be multiplied by this factor. If no weights were passed in,
the newly added weights will all have this value.