link_rows for creating weighted networks. All link weights will
be set to 1.0 by default. But see the weight_factor param to specify another constant instead.
Usage
The following example shows how the step can be used in a recipe.Examples
Examples
Given a dataset
ds, where each row is associated with a twitter user (identified by column account_id), the following line connects each of these users with other users specified in columns reply_ids and mention_ids.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
A column containing for each item a list of row numbers identfying all other items it
will be linked to.
A column containing for each item a list of weights identfying the “importance” of each
link to other items identified in the
targets column (counting how many times a consecutive
pair of items was found together in the sequences).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
Multiply link weights by this number.