OMLDataSetDescription: Construct OMLDataSetDescription.

Description

Creates a description for an OMLDataSet. To see a full list of all elements, please see the XSD.

Usage

makeOMLDataSetDescription(id = 0L, name, version = "0", description,
  format = "ARFF", creator = NA_character_,
  contributor = NA_character_, collection.date = NA_character_,
  upload.date = as.POSIXct(Sys.time()), language = NA_character_,
  licence = NA_character_, url = NA_character_,
  default.target.attribute = NA_character_,
  row.id.attribute = NA_character_, ignore.attribute = NA_character_,
  version.label = NA_character_, citation = NA_character_,
  visibility = NA_character_, original.data.url = NA_character_,
  paper.url = NA_character_, update.comment = NA_character_,
  md5.checksum = NA_character_, status = NA_character_,
  tags = NA_character_)

Arguments

[integer(1)] Data set ID, autogenerated by the server. Ignored when set manually.

name

[character(1)] The name of the data set.

version

[character(1)] Version of the data set, autogenerated by the server. Ignored when set manually.

description

[character(1)] Description of the data set, given by the uploader.

format

[character(1)] Format of the data set. At the moment this is always "ARFF".

creator

[character] The person(s), that created this data set. Optional.

contributor

[character] People, that contibuted to this version of the data set (e.g., by reformatting). Optional.

collection.date

[character(1)] The date the data was originally collected. Given by the uploader. Optional.

upload.date

[POSIXt] The date the data was uploaded. Added by the server. Ignored when set manually.

language

[character(1)] Language in which the data is represented. Starts with 1 upper case letter, rest lower case, e.g. 'English'

licence

[character(1)] Licence of the data. NA means: Public Domain or "don't know/care".

url

[character(1)] Valid URL that points to the data file.

default.target.attribute

[character] The default target attribute, if it exists. Of course, tasks can be defined that use another attribute as target.

row.id.attribute

[character(1)] The attribute that represents the row-id column, if present in the data set. Else NA.

ignore.attribute

[character] Attributes that should be excluded in modelling, such as identifiers and indexes. Optional.

version.label

[character(1)] Version label provided by user, something relevant to the user. Can also be a date, hash, or some other type of id.

citation

[character(1)] Reference(s) that should be cited when building on this data.

visibility

[character(1)] Who can see the data set. Typical values: 'Everyone', 'All my friends', 'Only me'. Can also be any of the user's circles.

original.data.url

[character(1)] For derived data, the url to the original data set. This can be an OpenML data set, e.g. 'http://openml.org/d/1'.

paper.url

[character(1)] Link to a paper describing the data set.

update.comment

[character(1)] When the data set is updated, add an explanation here.

md5.checksum

[character(1)] MD5 checksum to check if the data set is downloaded without corruption. Can be ignored by user.

status

[character(1)] The status of the data set, autogenerated by the server. Ignored when set manually.

Examples

Run this code

# NOT RUN {
data("airquality")
dsc = "Daily air quality measurements in New York, May to September 1973.
This data is taken from R."
cit = "Chambers, J. M., Cleveland, W. S., Kleiner, B. and Tukey, P. A. (1983) Graphical
Methods for Data Analysis. Belmont, CA: Wadsworth."
desc_airquality = makeOMLDataSetDescription(name = "airquality",
  description = dsc,
  creator = "New York State Department of Conservation (ozone data) and the National
    Weather Service (meteorological data)",
  collection.date = "May 1, 1973 to September 30, 1973",
  language = "English",
  licence = "GPL-2",
  url = "https://stat.ethz.ch/R-manual/R-devel/library/datasets/html/00Index.html",
  default.target.attribute = "Ozone",
  citation = cit,
  tags = "R")

airquality_oml = makeOMLDataSet(desc = desc_airquality,
  data = airquality,
  colnames.old = colnames(airquality),
  colnames.new = colnames(airquality),
  target.features = "Ozone")
# }

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Description

Usage

Arguments

See Also

Examples