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API Reference

Autoscientist

Create an AutoScientist run
POST/api/v1/autoscientist
Recommend hyperparameters
POST/api/v1/autoscientist/recommend-hyperparams
Retrieve an AutoScientist run
GET/api/v1/autoscientist/{experiment_id}
List AutoScientist runs
GET/api/v1/autoscientist
Cancel an AutoScientist run
POST/api/v1/autoscientist/{experiment_id}/cancel
Download the best trained model artifact
GET/api/v1/autoscientist/{experiment_id}/download
ModelsExpand Collapse
AutoscientistRun = object { id, completed_at, created_at, 9 more }
id: string

AutoScientist run id.

completed_at: unknown
created_at: string
formatdate-time
dataset_id: unknown

Public id of the dataset the run trained on.

download_available: boolean

True when the best trained artifact can be downloaded.

iterations_completed: number

Number of completed iterations.

max_iterations: number

Resolved maximum number of iterations, including the model-specific default.

model: unknown

Resolved base model id used, including an automatically selected model.

status: "pending" or "running" or "succeeded" or 2 more
One of the following:
"pending"
"running"
"succeeded"
"failed"
"cancelled"
target_win_rate: number

Resolved target win rate for the AutoScientist loop, including the model-specific default.

best_win_rate: optional unknown

Best win rate achieved so far.

error: optional unknown

Reserved; not populated for autoscientist runs in this version.