publish_data: 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.