makeOMLEstimationProcedure

OMLEstimationProcedure

[<code>character(1)</code>]
The type of procedure used for performance estimation: either
cross-validation, holdout, bootstrap or sampling.

type

[<code>character(1)</code>]
The url from which a file with train-test splits can be downloaded.

data.splits.url

[<code>data.frame</code>]
The train-test splits. Default is <code>NULL</code>, which means data splits have not yet been downloaded.

data.splits

[<code>list</code>]
Any parameters for the estimation procedure, e.g. the number of repeats and folds in cross-validation.

parameters

Constructs an estimation procedure.

internal

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.

makeOMLEstimationProcedure: Construct OMLEstimationProcedure.

Description

Usage

Arguments

Value