runTaskFlow

Uses the ID of the run and tries to reproduce its results by downloading the flow and applying it to the respective task.

We provide an R interface to 'OpenML.org' which is an online machine learning platform where researchers can access open data, download and upload data sets, share their machine learning tasks and experiments and organize them online to work and collaborate with other researchers.
The R interface allows to query for data sets with specific properties, and allows the downloading and uploading of data sets, tasks, flows and runs.
See <https://www.openml.org/guide/api> for more information.

Giuseppe Casalicchio

OpenML

Open Machine Learning and Open Data Platform

runTaskFlow function

<dl><dt>task</dt>
<dd>[<code>OMLTask</code>] 
An OpenML task.</dd>
<dt>flow</dt>
<dd>[<code>OMLFlow</code>] 
Flow that is applied to the Task.</dd>
<dt>par.list</dt>
<dd>[<code>list</code>|<code>OMLRunParList</code>] 
Can be either a named list containing the hyperparameter values or a <code>OMLRunParList</code>.</dd>
<dt>seed</dt>
<dd>[<code>numeric(1)</code>|<code>OMLSeedParList</code> ] 
Set a seed to make the run reproducible.
Default is <code>1</code> and sets the seed using <code>set.seed(1)</code>.</dd>
<dt>predict.type</dt>
<dd>[character(1)] 
Optional. See <code>setPredictType</code>.
Default is "response".</dd>
<dt>verbosity</dt>
<dd>[<code>integer(1)</code>] 
Print verbose output on console? Possible values are: 
<code>0</code>: normal output, 
<code>1</code>: info output, 
<code>2</code>: debug output. 
Default is set via <code>setOMLConfig</code>.</dd>
<dt>models</dt>
<dd>[<code>logical(1)</code>] 
This argument is passed to <code>benchmark</code>.
Should all fitted models be stored in the <code>ResampleResult</code>?
Default is <code>TRUE</code>.</dd></dl>

Arguments

Reproduce the Run — runTaskFlow

<dl>

<dt>task</dt>
<dd>[<code>OMLTask</code>] 
An OpenML task.</dd>


<dt>flow</dt>
<dd>[<code>OMLFlow</code>] 
Flow that is applied to the Task.</dd>


<dt>par.list</dt>
<dd>[<code>list</code>|<code>OMLRunParList</code>] 
Can be either a named list containing the hyperparameter values or a <code>OMLRunParList</code>.</dd>


<dt>seed</dt>
<dd>[<code>numeric(1)</code>|<code>OMLSeedParList</code> ] 
Set a seed to make the run reproducible.
Default is <code>1</code> and sets the seed using <code>set.seed(1)</code>.</dd>


<dt>predict.type</dt>
<dd>[character(1)] 
Optional. See <code>setPredictType</code>.
Default is "response".</dd>


<dt>verbosity</dt>
<dd>[<code>integer(1)</code>] 
Print verbose output on console? Possible values are: 
<code>0</code>: normal output, 
<code>1</code>: info output, 
<code>2</code>: debug output. 
Default is set via <code>setOMLConfig</code>.</dd>


<dt>models</dt>
<dd>[<code>logical(1)</code>] 
This argument is passed to <code>benchmark</code>.
Should all fitted models be stored in the <code>ResampleResult</code>?
Default is <code>TRUE</code>.</dd>

</dl>

runTaskFlow: Reproduce the Run

Description

Usage

Value

Arguments