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Use igraph to create your own layout. Methods and possible parameters are described here.

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Usage

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

Examples

  • Example 1
  • Signature
The following configuration would allow smaller clusters and consider fewer of the data points as noise:
layout(links) -> (ds.x, ds.y)

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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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targets
column[list[number]]
required
A column containing link targets. Source is implied in the index.
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*weights
column[list[number]]
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x
column
required
A numerical column with the x position of the calculated layout.
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y
column
required
A numerical column with the y position of the calculated layout.

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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

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method
string
default:"fr"
Algorithm to use. The name of a supported clustering algorithm (currently allows ‘fr’, ‘fruchterman_reingold’, ‘drl’, ‘sugiyama’).Values must be one of the following:
  • fr
  • fruchterman_reingold
  • drl
  • sugiyama
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directed
boolean
default:"false"
Links directed. Are the links directed (true) or not (false).
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seed
integer
default:"1"
Seed. Seed to initialize the graph.
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