publish_data {mlr3oml} | 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 .
|
[Package
mlr3oml version 0.10.0
Index]