publish_data: Upload data to OpenML
In mlr-org/mlr3oml: Connector Between 'mlr3' and 'OpenML'

publish_data

R Documentation

Upload data to OpenML

Description

Upload a dataset to OpenML. This can also be achieved through the website.

Usage

publish_data(
  data,
  name,
  desc,
  license = NULL,
  default_target = NULL,
  citation = NULL,
  row_identifier = NULL,
  ignore_attribute = NULL,
  original_data_url = NULL,
  paper_url = NULL,
  test_server = test_server_default(),
  api_key = NULL
)

Arguments

`data`	(`data.frame()`) The data to upload.
`name`	(`character(1)`) The name of the dataset.
`desc`	(`character(1)`) The description of the dataset.
`license`	(`character(1)`) The license of the dataset
`default_target`	(`character(1)`) The default target variable.
`citation`	(`character(1)`) How to cite the dataset.
`row_identifier`	(`character(1)`) Whether any of the columns is a row identifier.
`ignore_attribute`	(`character(1)`) Which columns to ignore during modeling.
`original_data_url`	(character(1)) The URL of the original data set.
`paper_url`	(`character(1)`) The URL of the paper describing the data set.
`test_server`	(`character(1)`) Whether to use the OpenML test server or public server. Defaults to value of option `"mlr3oml.test_server"`, or `FALSE` if not set.
`api_key`	(`character(1)`) The API key to perform the action, if left NULL it first tries the "mlr3oml.api_key" R option and then the environment variable `OPENMLAPIKEY`. In case `test_server` is TRUE (only relevant for developers) the test server API key is used, i.e. first the option "mlr3oml.test_api_key" and then the environment variable `TESTOPENMLAPIKEY`.