---
title: "Anomaly settings"
method: POST
path: "/api/{projectId}/training/anomaly/{learnId}"
tags: ["Learn"]
---

# Anomaly settings

`POST /api/{projectId}/training/anomaly/{learnId}`

## Request

- Base URL: `https://studio.edgeimpulse.com/v1`
- URL: `https://studio.edgeimpulse.com/v1/api/{projectId}/training/anomaly/{learnId}`
- Auth: one of:
  - API key in header `x-api-key`
  - API key in cookie `jwt`
  - API key in header `x-jwt-token`
  - OAuth 2
    - Authorization code: `/v1/oauth/authorize`
    - Client credentials
    - Implicit: `/v1/oauth/authorize`
    - Password
    - Token URL: `/v1/oauth/token`
- TypeScript: <https://skmtc.dev/edgeimpulse/apis/edge-impulse-api/docs/api/:projectId/training/anomaly/:learnId/post.ts> (a function with typed inputs; its response is checked against the schema)

Configure the anomaly block, such as its minimum confidence score. Use the impulse blocks to find the learnId.

## Path parameters

- `projectId` integer, required
- `learnId` integer, required

## Request body

- SetAnomalyParameterRequest: Only fields defined in this object are set
  - `minimumConfidenceRating` number: DEPRECATED, use "setImpulseThresholds" instead. Minimum confidence score, if the anomaly block scores a sample above this threshold it will be flagged as anomaly.

## Response `200`

OK

- GenericApiResponse
  - `success` boolean, required: Whether the operation succeeded
  - `error` string: Optional error description (set if 'success' was false)

---

[API](https://skmtc.dev/edgeimpulse/apis/edge-impulse-api.md) - [All operations](https://skmtc.dev/edgeimpulse/apis/edge-impulse-api/llms.txt) - [OpenAPI document](https://skmtc.dev/edgeimpulse/apis/edge-impulse-api/revisions/e2a976d38427?raw)