> ## Documentation Index > Fetch the complete documentation index at: https://docs.mathfi.ai/llms.txt > Use this file to discover all available pages before exploring further. # Get training job progress > Get training job progress by its key. The status indicates the progress. ## OpenAPI ````yaml api-reference/openapi.yaml GET /api/v1/training/{trainingJobKey}/progress openapi: 3.0.1 info: title: MathFi.ai API description: > The MathFi.ai REST API runs the two products end to end. **Feature Refinery** takes your labelled data and works out which columns actually carry the signal. It returns a reduced train and test pair, a per-column keep/remove decision, and the performance target the refined data reached. **Model Crucible** takes a dataset, trains every algorithm family against it at once, ranks the results on held-out data by fewest wrong decisions, and keeps the best three as versions of one model. You pick which one predictions run against. Everything is asynchronous: you create a thing, upload to a signed URL, start it, then poll until the state is terminal. Nothing streams and nothing blocks. contact: name: MathFi.ai url: https://mathfi.ai email: support@mathfi.ai license: name: MathFi.ai url: https://mathfi.ai version: 1.0.0 servers: - url: https://{tenant}-api.mathfi.ai description: >- Your tenant's API. Each customer has their own, so the host varies. Replace {tenant} with the name issued when your tenant was created. variables: tenant: default: your-tenant description: The tenant name issued to you. security: - BearerAuth: [] tags: - name: Authentication description: Exchange credentials for a bearer token - name: Feature Refinery description: Reduce a dataset to the columns that earn their place - name: Datasets description: >- Prepare labelled data for training, from uploads or from a finished refinement - name: Training description: Run the Crucible against a dataset and choose the champion model - name: Models description: Trained models and their versions - name: Predictions description: Score unlabelled data against a champion model paths: /api/v1/training/{trainingJobKey}/progress: get: tags: - Training summary: Get training job progress description: Get training job progress by its key. The status indicates the progress. operationId: getTrainingProgress parameters: - name: trainingJobKey in: path required: true schema: type: string format: uuid responses: '200': description: Training job progress successful response content: application/json: schema: $ref: '#/components/schemas/TrainingJobProgressOutput' examples: Successful progress response: summary: Successful progress response value: | { "status": "COMPLETED", "jobs": [ { "trainingJobKey": "bc9aa412-8d4f-4b00-89af-0e6e3dcf8e57", "algorithm": "BSEV01", "status": "NOT_COMPLETED", "latestPerformance": 0.6198999, "recentPerformances": [ 0.6198999, 0.6198999, 0.6198999, 0.6198999, 0.6198999 ] }, { "trainingJobKey": "d9ab4260-6416-45d6-91e4-7b0b8a0ad56b", "algorithm": "BFIF01", "status": "NOT_COMPLETED", "latestPerformance": 0.7714181, "recentPerformances": [ 0.7712554, 0.7712554, 0.77137744, 0.7714181 ] }, { "trainingJobKey": "e7edd490-3ee2-49f8-a49c-e9f9759965e8", "algorithm": "BSIX01", "status": "NOT_COMPLETED", "latestPerformance": 0.859485, "recentPerformances": [ 0.85789835, 0.86017656, 0.8659534, 0.8659534, 0.859485 ] }, { "trainingJobKey": "f2275fde-73ed-43d0-948a-17ff8f586874", "algorithm": "BSEV02", "status": "COMPLETED", "latestPerformance": 0.92002606, "recentPerformances": [ 0.9193752, 0.91998535, 0.91998535, 0.9197413, 0.92002606 ] } ] '400': description: Invalid training progress request '500': description: Internal server error components: schemas: TrainingJobProgressOutput: required: - status type: object properties: status: $ref: '#/components/schemas/TrainingJobStatus' targetPerformance: type: number format: double jobs: type: array items: $ref: '#/components/schemas/TrainingJobProgressItem' nextPollAfterSeconds: description: >- How long to wait before asking again. Absent once the job has finished — there is nothing further to wait for, and a client that honours this stops polling. type: integer nullable: true TrainingJobStatus: type: string description: > Status of training: * `PENDING` - The training job has been created and is pending execution * `RUNNING` - The training job is currently executing and progressing * `COMPLETED` - The training job has completed execution successfully, reaching the target performance. A model has been generated. * `TIMED_OUT` - The training job could not reach the target performance in the configured * `CANCELLED` - The training job has been cancelled by the user * `NOT_COMPLETED` - The training job has stalled without making progress in a specified timeframe * `FAILED` - The training job has failed due to an error enum: - PENDING - RUNNING - COMPLETED - TIMED_OUT - CANCELLED - FAILED - NOT_COMPLETED TrainingJobProgressItem: type: object properties: trainingJobKey: type: string format: uuid attemptNumber: description: >- Which of the job's attempts this is, counting from one. Present where a job runs many attempts rather than one job per algorithm — the attempts have no key of their own. type: integer nullable: true algorithm: type: string status: $ref: '#/components/schemas/TrainingJobStatus' latestPerformance: type: number format: double recentPerformances: type: array items: type: number format: double securitySchemes: BearerAuth: type: http scheme: bearer bearerFormat: JWT ````