Changes in version 0.12.0 (2026-01-28)                 

  - Move from qs to qs2 package for caching.
  - Add uploader argument to list_oml_data().

                 Changes in version 0.11.0 (2025-08-26)                 

New Features

  - Added list_oml_collections() to list collections (run or task
    collections) on OpenML.

                 Changes in version 0.10.1 (2025-07-24)                 

  - Bugfix: provide anchors for links in Rd files

                 Changes in version 0.10.0 (2024-06-04)                 

  - Bugfix: Caching of parquet files failed when the temporary directory
    was on a different partition as the cache directory
  - feat: Add option mlr3oml.retries to control number of retries when
    downloading data from OpenML. The default is 3.

                 Changes in version 0.9.0 (2023-09-13)                  

  - Fix: Parquet datasets now work where columns simultaneously have to
    be renamed and converted.
  - Added upload functions:
      - publish_data to upload a dataset on OpenML
      - publish_task to create a task on OpenML
      - publish_collection to create a collection on OpenML

                 Changes in version 0.8.0 (2023-07-06)                  

  - Listing functions don't return the tables invisibly anymore.
  - Address CRAN NOTE regarding unused bit64 import.
  - Improved the printer for all OpenML objects.
  - Removed benchmark_grid_oml(), which was already deprecated in
    release 0.7.2.
  - Removed the fields runs, flows, data, tasks from the OMLCollection
    class. Consequently, the cache option can no longer be set for
    OMLCollection objects, see the class documentation for more
    information.
  - Removed the examples, as they caused problems with CRAN checks when
    OpenML was unavailable.
  - Caching can no longer be specified at the instance level but only
    globally through the option mlr3oml.cache
  - Added $download() method for all OML objects to fully download an
    object for offline usage.
  - Incremented the cache version for parquet data due to a change in
    OpenML.
  - Added an online tutorial for the package.

                 Changes in version 0.7.2 (2023-06-12)                  

  - Fix: target is added to features when converting a OMLData object to
    a task with an explicit target variable that is not the default
    target.
  - Deprecated benchmark_grid_oml() in favour of
    mlr3::benchmark_grid(..., paired = TRUE)
  - Fix: Incremented cache version for data objects for int64 data types
    (introduced in the previous release).
  - Fix: Incremented cache version for data description and fixed bug,
    as make.names() was not applied to ignore attributes.
  - Fix bug in task converter (features were sometimes not set
    correctly)
  - Collection now shows name in printer
  - Better error message when parquet dataset creation fails

                 Changes in version 0.7.1 (2023-03-14)                  

  - Fixed argument names of S3 method for as_data_backend to comply with
    new CRAN checks

                 Changes in version 0.7.0 (2022-12-12)                  

  - feature: Add argument task_type to function list_oml_tasks().
  - fix: strings and nominals are distinguished for parquet files
  - docs: Fixed some OpenML links
  - docs: Renamed the docs for OpenML objects
  - Renamed the sugar functions from:
      - oml_data() is now odt()
      - oml_task() is now otsk()
      - oml_flow() is now oflw()
      - oml_run() is now orn
      - oml_collection() is now ocl()
  - Addresses a CRAN issue: examples fail gracefully if OpenML server is
    busy.

                 Changes in version 0.6.0 (2022-10-12)                  

Features

  - Add R6 classes for OMLCollection, OMLRun, OMLFlow.
  - Added function benchmark_grid_oml that allows for easier creation of
    benchmark designs from OpenML task-resampling pairs.
  - Added sugar functions oml_flow, oml_data, oml_task, oml_run,
    oml_collection for all OpenML objects.
  - Conversion from OpenML to mlr3 objects is now only possible with the
    usual s3-converters as_<object>. This improves consistency by
    ensuring that the subcomponents of OpenML objects are always OpenML
    objects and not suddenly mlr3 objects.
  - Added more converter functions: as_learner, as_resample_result,
    as_data_backend, as_benchmark_result.
  - Added support for parquet files that were recently introduced on
    OpenML. The global option mlr3oml.parquet can be used to enable or
    disable this. By default it is FALSE. This is implemented via the
    duckdb backend from mlr3db.
  - Support to use the OpenML test server. This can be globally enabled
    using the option mlr3oml.test_server or individually for objects.
    Options to globally define an API-key for the test server are
    through the environment variable TESTOPENMLAPIKEY or the option
    mlr3oml.test_api_key

Fixes

  - Removed support for survival tasks as mlr3proba is no longer on CRAN
  - OpenML tasks can now also be filtered according to the task type

Other

  - Implement an arff writer and remove the arff dependency, therefore
    also removing the option "farff" as the mlr3oml.arff_parser
  - Increment the cache version number due to changes in the cache
    structure: This will flush the previous cache folder.
  - Simplified the code structure by adding OMLObject class from which
    all other OpenML objects like OMLData, OMLTask inherit.

                 Changes in version 0.5.0 (2021-09-24)                  

  - Support for downloading survival tasks (via mlr3proba).
  - More functions to list objects from OpenML:
      - list_oml_evaluations()
      - list_oml_flows()
      - list_oml_measures()
      - list_oml_runs()
      - list_oml_setups()

                 Changes in version 0.4.3 (2021-04-16)                  

  - Fixed a bug regarding unquoting fields in ARFF files.

                 Changes in version 0.4.2 (2021-02-22)                  

  - If not set via option mlr3oml.api_key, the API key is retrieved from
    the environment variable OPENMLAPIKEY.
  - Implemented a retry mechanism as a workaround for temporary
    connection errors.

                 Changes in version 0.4.1 (2021-01-27)                  

  - Added a heuristic to detect the quote char.

                 Changes in version 0.4.0 (2020-10-20)                  

  - The parsers for ARFF files can now be explicitly selected via option
    "mlr3oml.arff.parser". Default is the internal parser based on
    data.table::fread().
  - Improved stability of the internal ARFF parser in case of malformed
    ARFF files and non-standardized quotes.

                 Changes in version 0.3.0 (2020-10-05)                  

  - The connectors used in mlr_tasks and mlr_resamplings now signal
    errors of class missingDefaultError if some defaults are not set.
  - Target columns are now automatically converted to the require
    storage mode during task creation.
  - Removed dependency on orphaned package bibtex.

                 Changes in version 0.2.0 (2020-08-24)                  

  - Support filtering data sets and tasks via data id or task id (#5).
  - Added fallback to RWeka for sparse ARFF files (#6).
  - Fixed import from backports.

                 Changes in version 0.1.0 (2020-08-07)                  

  - Initial release.