Get Overview about data available via api. This will be documented here:
dataset data openml.datasets.list_datasets(output_format="dataframe")
did: unique dataset ID
name: non unique
version: int, the combination of name and version seems to be unique in every case but one
uploader: int (maybe this is a user id??)
status: "active" for all of them
format: one of ARFF, SParse_ARFF, arff or sparse_arff
MajorityClassSize: number or NaN
MaxNominalAttDistinctValues: number or NaN
MinorityClassSize: number or NaN
NumberOfClasses: number or NaN
NumberOfFeatures: number or NaN
NumberOfInstances: number or NaN
NumberOfInstancesWithMissingValues: number or NaN
NumberOfMissingValues: number or NaN
NumberOfNumericFeatues: number or NaN
NumberOfSymbolicFeatures: number or NaN
evaluations (have to give evaluation function)
run_id: run id
task_id: task id
setup_id: setup id
flow_id: flow id
flow_name: flow name
data_id: dataset id?
data_name: dataset name?
function: evaluation function
upload_time: time it was uploaded
uploader: uploader number
uploader_name: name string
value: int
values: always None?
array_data: always None?
flows
id: unique id
full_name: name with number in parentheses
name: name of python class or function\
version: number
external_version: None or package versions with package name in the form 'openml==0.14.1,sklearn==1.3.0'
uploader: number
runs
run_id: unique id
task_id: task id
setup_id: setup id
flow_id: flow id
uploader: number
task_type: instance of task type in the following form: TaskType.LEARNING_CURVE
upload_time: time in the format of 2014-04-06 23:30:40
error_message: string
setups:
setup_id: unique id
flow_id: flow id
parameters: dict of things that are given as numbers; the dicts contain information such as flow information, data_type, default_value etc
study openml.study.list_studies(output_format="dataframe") (a bit unclear, what this is, but there are only two... However, from the ids, it seems as if there were more)
id: unique id, only 123 and 226
main_entity_type: "run"
status: "active"
creation_date: time in the format of 2019-02-21 19:55:30
Get Overview about data available via api. This will be documented here:
openml.datasets.list_datasets(output_format="dataframe")
openml.study.list_studies(output_format="dataframe")
(a bit unclear, what this is, but there are only two... However, from the ids, it seems as if there were more)openml.tasks.list_tasks(output_format="dataframe")
Dependencies: Task on Dataset; Run on Task, Setup and Flow; Setup on Flow, Evaluation on Run, Task, Setup, Flow, Dataset