This function allows to find tasks on https://openml.org/t using some simple filter criteria.
Note that only a subset of filters is exposed here. For a more feature-complete package, see OpenML.
list_oml_tasks( task_id = NULL, number_instances = NULL, number_features = NULL, number_classes = NULL, number_missing_values = NULL, tag = NULL, limit = 5000L, ... )
task_id | ( |
---|---|
number_instances | ( |
number_features | ( |
number_classes | ( |
number_missing_values | ( |
tag | ( |
limit | ( |
... | (any) |
(data.table()
) of results, or NULL
if no data set matches the criteria.
Filter values can be provided as single atomic values (typically integer or character).
Provide a numeric vector of length 2 (c(l, u)
) to find matches in the range \([l, u]\).
Casalicchio G, Bossek J, Lang M, Kirchhoff D, Kerschke P, Hofner B, Seibold H, Vanschoren J, Bischl B (2017). “OpenML: An R Package to Connect to the Machine Learning Platform OpenML.” Computational Statistics, 1--15. doi: 10.1007/s00180-017-0742-2 .
Vanschoren J, van Rijn JN, Bischl B, Torgo L (2014). “OpenML.” ACM SIGKDD Explorations Newsletter, 15(2), 49--60. doi: 10.1145/2641190.2641198 .
#> task_id task_type data_id name #> 1: 59 Supervised Classification 61 iris #> 2: 118 Learning Curve 61 iris #> 3: 289 Supervised Classification 61 iris #> 4: 1758 Learning Curve 61 iris #> 5: 1823 Supervised Classification 61 iris #> --- #> 471: 359608 Clustering 42261 iris-example #> 472: 359783 Clustering 42535 TEST10e627dcde-UploadTestWithURL #> 473: 359882 Clustering 42661 iris #> 474: 359912 Clustering 42699 iris #> 475: 359913 Clustering 42700 iris #> status MajorityClassSize MaxNominalAttDistinctValues MinorityClassSize #> 1: active 50 3 50 #> 2: active 50 3 50 #> 3: active 50 3 50 #> 4: active 50 3 50 #> 5: active 50 3 50 #> --- #> 471: active 50 NA 50 #> 472: active NA NA NA #> 473: active NA NA NA #> 474: active NA NA NA #> 475: active 50 NA 50 #> NumberOfClasses NumberOfFeatures NumberOfInstances #> 1: 3 5 150 #> 2: 3 5 150 #> 3: 3 5 150 #> 4: 3 5 150 #> 5: 3 5 150 #> --- #> 471: 3 5 150 #> 472: NA 5 150 #> 473: NA 5 150 #> 474: NA 5 150 #> 475: 3 5 150 #> NumberOfInstancesWithMissingValues NumberOfMissingValues #> 1: 0 0 #> 2: 0 0 #> 3: 0 0 #> 4: 0 0 #> 5: 0 0 #> --- #> 471: 0 0 #> 472: 0 0 #> 473: 0 0 #> 474: 0 0 #> 475: 0 0 #> NumberOfNumericFeatures NumberOfSymbolicFeatures #> 1: 4 1 #> 2: 4 1 #> 3: 4 1 #> 4: 4 1 #> 5: 4 1 #> --- #> 471: 4 1 #> 472: 4 1 #> 473: 4 0 #> 474: 4 1 #> 475: 4 1# }