Retrieve an AutoScientist run

GET/api/v1/autoscientist/{experiment_id}

Path ParametersExpand Collapse

experiment_id: string

ReturnsExpand 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.

Retrieve an AutoScientist run

curl https://api.prod.adaptionlabs.ai/api/v1/autoscientist/$EXPERIMENT_ID \
    -H "Authorization: Bearer $ADAPTION_API_KEY"

{
  "id": "id",
  "completed_at": {},
  "created_at": "2019-12-27T18:11:19.117Z",
  "dataset_id": {},
  "download_available": true,
  "iterations_completed": 0,
  "max_iterations": 0,
  "model": {},
  "status": "pending",
  "target_win_rate": 0,
  "best_win_rate": {},
  "error": {}
}

Returns Examples

{
  "id": "id",
  "completed_at": {},
  "created_at": "2019-12-27T18:11:19.117Z",
  "dataset_id": {},
  "download_available": true,
  "iterations_completed": 0,
  "max_iterations": 0,
  "model": {},
  "status": "pending",
  "target_win_rate": 0,
  "best_win_rate": {},
  "error": {}
}