Added list_oml_collections() to list collections (run
or task collections) on OpenML.
mlr3oml 0.10.1
Bugfix: provide anchors for links in Rd files
mlr3oml 0.10.0
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.
mlr3oml 0.9.0
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
mlr3oml 0.8.0
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.
mlr3oml 0.7.2
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
mlr3oml 0.7.1
Fixed argument names of S3 method for as_data_backend
to comply with new CRAN checks
mlr3oml 0.7.0
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.
mlr3oml 0.6.0
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.
mlr3oml 0.5.0
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()
mlr3oml 0.4.3
Fixed a bug regarding unquoting fields in ARFF files.
mlr3oml 0.4.2
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.
mlr3oml 0.4.1
Added a heuristic to detect the quote char.
mlr3oml 0.4.0
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.
mlr3oml 0.3.0
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.
mlr3oml 0.2.0
Support filtering data sets and tasks via data id or task id
(#5).
Added fallback to RWeka for sparse ARFF files (#6).