qs to qs2 package for
caching.uploader argument to
list_oml_data().list_oml_collections() to list collections (run
or task collections) on OpenML.mlr3oml.retries to control number of
retries when downloading data from OpenML. The default is 3.publish_data to upload a dataset on OpenMLpublish_task to create a task on OpenMLpublish_collection to create a collection on
OpenMLbenchmark_grid_oml(), which was already
deprecated in release 0.7.2.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.mlr3oml.cache$download() method for all OML objects to fully
download an object for offline usage.OMLData object to a task with an explicit target variable
that is not the default target.benchmark_grid_oml() in favour of
mlr3::benchmark_grid(..., paired = TRUE)make.names() was not applied to ignore attributes.as_data_backend
to comply with new CRAN checkstask_type to function
list_oml_tasks().oml_data() is now odt()oml_task()is now otsk()oml_flow() is now oflw()oml_run() is now ornoml_collection() is now ocl()Features
OMLCollection, OMLRun,
OMLFlow.benchmark_grid_oml that allows for
easier creation of benchmark designs from OpenML task-resampling
pairs.oml_flow, oml_data,
oml_task, oml_run, oml_collection
for all OpenML objects.as_<object>. This improves
consistency by ensuring that the subcomponents of OpenML objects are
always OpenML objects and not suddenly mlr3 objects.as_learner,
as_resample_result, as_data_backend,
as_benchmark_result.mlr3oml.parquet can be used to
enable or disable this. By default it is FALSE. This is
implemented via the duckdb backend from mlr3db.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_keyFixes
Other
"farff" as the
mlr3oml.arff_parserOMLObject class
from which all other OpenML objects like OMLData,
OMLTask inherit.mlr3proba).list_oml_evaluations()list_oml_flows()list_oml_measures()list_oml_runs()list_oml_setups()mlr3oml.api_key, the API key is
retrieved from the environment variable OPENMLAPIKEY."mlr3oml.arff.parser". Default is the internal parser based
on data.table::fread().mlr_tasks and
mlr_resamplings now signal errors of class
missingDefaultError if some defaults are not set.bibtex.
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