mlr_graphs_greplicate

pipeline_greplicate

Create a new <code>Graph</code> containing <code>n</code> copies of the input <code>Graph</code> / <code>PipeOp</code>. To avoid ID
collisions, PipeOp IDs are suffixed with <code>_i</code> where <code>i</code> ranges from 1 to <code>n</code>.
All input arguments are cloned and have no references in common with the returned <code>Graph</code>.

Dataflow programming toolkit that enriches 'mlr3' with a diverse
set of pipelining operators ('PipeOps') that can be composed into graphs.
Operations exist for data preprocessing, model fitting, and ensemble
learning. Graphs can themselves be treated as 'mlr3' 'Learners' and can
therefore be resampled, benchmarked, and tuned.

Martin Binder

mlr3pipelines

Preprocessing Operators and Pipelines for 'mlr3'

Florian Pfisterer

Lennart Schneider

Bernd Bischl

Michel Lang

Sebastian Fischer

Susanne Dandl

mlr_graphs_greplicate function

<dl><dt>graph</dt>
<dd><code>Graph</code> 
Graph to replicate.</dd>
<dt>n</dt>
<dd><code>integer(1)</code>
Number of copies to create.</dd></dl>

Arguments

Create Disjoint Graph Union of Copies of a Graph — mlr_graphs_greplicate

<dl>

<dt>graph</dt>
<dd><code>Graph</code> 
Graph to replicate.</dd>


<dt>n</dt>
<dd><code>integer(1)</code>
Number of copies to create.</dd>

</dl>

mlr_graphs_greplicate: Create Disjoint Graph Union of Copies of a Graph

Description

Usage

Value

Arguments

See Also

Examples