openml.flows.list_flows

openml.flows.list_flows(offset: int | None = None, size: int | None = None, tag: str | None = None, output_format: typing_extensions.Literal[dict] = 'dict', **kwargs: Any) → dict

openml.flows.list_flows(offset: int | None = None, size: int | None = None, tag: str | None = None, *, output_format: typing_extensions.Literal[dataframe], **kwargs: Any) → DataFrame

openml.flows.list_flows(offset: int | None, size: int | None, tag: str | None, output_format: typing_extensions.Literal[dataframe], **kwargs: Any) → DataFrame

Return a list of all flows which are on OpenML. (Supports large amount of results)

Parameters:

offsetint, optional

the number of flows to skip, starting from the first

sizeint, optional

the maximum number of flows to return

tagstr, optional

the tag to include

output_format: str, optional (default=’dict’)

The parameter decides the format of the output. - If ‘dict’ the output is a dict of dict - If ‘dataframe’ the output is a pandas DataFrame

kwargs: dict, optional

Legal filter operators: uploader.

Returns:

flowsdict of dicts, or dataframe

• If output_format=’dict’

  A mapping from flow_id to a dict giving a brief overview of the respective flow. Every flow is represented by a dictionary containing the following information: - flow id - full name - name - version - external version - uploader

• If output_format=’dataframe’

  Each row maps to a dataset Each column contains the following information: - flow id - full name - name - version - external version - uploader