Cancel training | Labric

{
  "id": "9f8e7d6c-5b4a-4c3d-9e2f-1a0b9c8d7e6f",
  "name": "Tensile strength regressor",
  "task_type": "tabular",
  "description": "Estimates tensile strength of extruded polymer samples from formulation and process parameters.",
  "target_column": "tensile_strength_mpa",
  "feature_columns": [
    "polymer_fraction",
    "anneal_temperature_c",
    "extrusion_speed_mm_s"
  ],
  "image_columns": null,
  "problem_type": "regression",
  "currently_active": false,
  "status": "cancelled",
  "version_number": 1,
  "dataset_id": "4e5f6a7b-8c9d-4e0f-a1b2-c3d4e5f6a7b8",
  "quality_preset": "high_quality",
  "error_message": null,
  "training_started_at": "2026-08-21T15:03:11Z",
  "training_completed_at": null,
  "evaluation_metrics": null
}

Cancel the model’s in-flight training runs.

Overlapping retrains can leave several versions pending or training at once, so the cancel is model-wide: every in-flight version is marked ‘cancelled’ and its cloud training jobs are stopped. Returns 400 when no training is pending or running.

Requires an API key with the write scope.

Authentication

AuthorizationBearer

Bearer authentication of the form Bearer <token>, where token is your auth token.

Path parameters

ml_model_idstringRequired

Response

idstringformat: "uuid"

namestring

task_typestring

descriptionstring or nullOptional

target_columnstring or nullOptional

feature_columnslist of strings or nullOptional

image_columnslist of strings or nullOptional

problem_typestring or nullOptional

currently_activebooleanOptionalDefaults to false

statusstring or nullOptional

version_numberinteger or nullOptional

dataset_idstring or nullOptionalformat: "uuid"

quality_presetstring or nullOptional

error_messagestring or nullOptional

training_started_atdatetime or nullOptional

training_completed_atdatetime or nullOptional

evaluation_metricsmap from strings to any or nullOptional

Errors

400

Bad Request Error

401

Unauthorized Error

403

Forbidden Error

404

Not Found Error

422

Unprocessable Entity Error

500

Internal Server Error