---
title: "Classify"
method: POST
path: "/api/{projectId}/jobs/classify"
tags: ["Jobs"]
---

# Classify

`POST /api/{projectId}/jobs/classify`

## Request

- Base URL: `https://studio.edgeimpulse.com/v1`
- URL: `https://studio.edgeimpulse.com/v1/api/{projectId}/jobs/classify`
- 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/jobs/classify/post.ts> (a function with typed inputs; its response is checked against the schema)

Classifies all items in the dataset against the current impulse. Updates are streamed over the websocket API.

## Path parameters

- `projectId` integer, required

## Query parameters

- `impulseId` integer
- `category` 'training' | 'testing'

## Request body

- StartClassifyJobRequest
  - `modelVariants` KerasModelVariantEnum[]: Set of model variants to run the classify job against.
  - `skipFeatureGeneration` boolean: If enabled, skips feature generation altogether. Used e.g. if you update thresholds.

## Response `200`

OK

- StartJobResponse
  - `success` boolean, required: Whether the operation succeeded
  - `error` string: Optional error description (set if 'success' was false)
  - `id` integer, required: Job identifier. Status updates will include this identifier.

---

[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)