openml.OpenMLStudy¶
-
class
openml.OpenMLStudy(study_id: Optional[int], alias: Optional[str], benchmark_suite: Optional[int], name: str, description: str, status: Optional[str], creation_date: Optional[str], creator: Optional[int], tags: Optional[List[Dict]], data: Optional[List[int]], tasks: Optional[List[int]], flows: Optional[List[int]], runs: Optional[List[int]], setups: Optional[List[int]])¶ An OpenMLStudy represents the OpenML concept of a study (a collection of runs).
It contains the following information: name, id, description, creation date, creator id and a list of run ids.
According to this list of run ids, the study object receives a list of OpenML object ids (datasets, flows, tasks and setups).
Inherits from
openml.BaseStudy- Parameters
- study_idint
the study id
- aliasstr (optional)
a string ID, unique on server (url-friendly)
- benchmark_suiteint (optional)
the benchmark suite (another study) upon which this study is ran. can only be active if main entity type is runs.
- namestr
the name of the study (meta-info)
- descriptionstr
brief description (meta-info)
- statusstr
Whether the study is in preparation, active or deactivated
- creation_datestr
date of creation (meta-info)
- creatorint
openml user id of the owner / creator
- tagslist(dict)
The list of tags shows which tags are associated with the study. Each tag is a dict of (tag) name, window_start and write_access.
- datalist
a list of data ids associated with this study
- taskslist
a list of task ids associated with this study
- flowslist
a list of flow ids associated with this study
- runslist
a list of run ids associated with this study
- setupslist
a list of setup ids associated with this study
-
publish(self) → int¶ Publish the study on the OpenML server.
- Returns
- study_id: int
Id of the study uploaded to the server.