Sweeps

`class` wandb.apis.public.Sweeps

service_api: 'ServiceApi',
entity: 'str',
project: 'str',
per_page: 'int' = 50,
filters: 'dict[str, Any] | None' = None

A lazy iterator over a collection of Sweep objects.

Args

service_api: The service API used to query W&B.
entity: The entity which owns the sweeps.
project: The project which contains the sweeps.
per_page: The number of sweeps to fetch per request to the API.
filters: (dict) queries for specific sweeps using the runs filters, See wandb/apis/public/api.py:runs for more details.

Examples

from wandb.apis.public import Api

sweeps = Api().project(name="project_name", entity="entity").sweeps()

# Iterate over sweeps and print details
for sweep in sweeps:
    print(f"Sweep name: {sweep.name}")
    print(f"Sweep ID: {sweep.id}")
    print(f"Sweep URL: {sweep.url}")
    print("----------")

Methods

`method` Paginator.next()

self

Return the next item from the iterator. When exhausted, raise StopIteration

`method` Paginator.update_variables()

self

Update the query variables for the next page fetch.

Sweep

Team

W&B Models

W&B Weave

Serverless Inference

Serverless Training

`class` wandb.apis.public.Sweeps

Args

Examples

Methods

`method` Paginator.next()

`method` Paginator.update_variables()

​class wandb.apis.public.Sweeps

​Args

​Examples

​Methods

​method Paginator.next()

​method Paginator.update_variables()

`class` wandb.apis.public.Sweeps

Args

Examples

Methods

`method` Paginator.next()

`method` Paginator.update_variables()