goose_mapreduce

Map-reduce pattern for AI processing

Seamless integration between R and 'Goose' AI capabilities
including memory management, visualization enhancements, and workflow
automation. Save R objects to 'Goose' memory, apply Block branding to
visualizations, and manage data science project workflows.
For more information about 'Goose' AI, see <https://github.com/block/goose>.

Brandon Theriault

gooseR

R Integration for 'Goose' AI

goose_mapreduce function

<dl><dt>data</dt>
<dd>Input data</dd>
<dt>map_query</dt>
<dd>Query template for mapping</dd>
<dt>reduce_query</dt>
<dd>Query for reduction</dd>
<dt>max_workers</dt>
<dd>Maximum parallel workers</dd></dl>

Arguments

Parallel Map-Reduce with AI — goose_mapreduce

<dl>

<dt>data</dt>
<dd>Input data</dd>


<dt>map_query</dt>
<dd>Query template for mapping</dd>


<dt>reduce_query</dt>
<dd>Query for reduction</dd>


<dt>max_workers</dt>
<dd>Maximum parallel workers</dd>

</dl>

goose_mapreduce: Parallel Map-Reduce with AI

Description

Usage

Value

Arguments