Delete Model Evaluation Job

DELETE

/model_evaluation/{evaluation_id}/

curl --request DELETE \
  --url 'https://api.e2enetworks.com/myaccount/api/v1/gpu/model_evaluation/{evaluation_id}/?project_id=<PROJECT_ID>&location=<LOCATION>&apikey=<API_KEY>' \
  --header 'Authorization: Bearer <API_TOKEN>'

import requests

response = requests.delete(
    "https://api.e2enetworks.com/myaccount/api/v1/gpu/model_evaluation/{evaluation_id}/",
    params={"project_id": "<PROJECT_ID>", "location": "<LOCATION>", "apikey": "<API_KEY>"},
    headers={"Authorization": "Bearer <API_TOKEN>"},
)
print(response.json())

const url = new URL("https://api.e2enetworks.com/myaccount/api/v1/gpu/model_evaluation/{evaluation_id}/");
url.search = new URLSearchParams({ project_id: "<PROJECT_ID>", location: "<LOCATION>", apikey: "<API_KEY>" });

const response = await fetch(url, {
  method: "DELETE",
  headers: { "Authorization": "Bearer <API_TOKEN>" },
});
console.log(await response.json());

Parameters

Path Parameters

evaluation_id

required

integer

Query Parameters

project_id

required

integer

Project ID

active_iam

integer

Active IAM ID (To access contact person account) Find your Active IAM ID here

location

required

string

Allowed values: Delhi Chennai

Location

Responses

200

Successful response

application/json

object

code

integer

data

object

integer

name

string

project_id

integer

input_dataset

string

nullable

input_dataset_config

object

dataset_path

string

nullable

hf_dataset_name

string

custom_hf_dataset_name

string

dataset_split

string

input_column

string

output_column

string

num_rows_limit

integer

dataset_type

string

output_dataset

object

integer

name

string

storage_type

string

bucket

object

integer

bucket_name

string

bucket_url

string

endpoint

string

framework

object

integer

name

string

display_name

string

metrics

Array<object>

object

name

string

display_name

string

evaluator_llm_name

string

evaluation_config

object

temperature

number

max_tokens

integer

top_p

number

status

string

run

object

integer

name

string

state

string

progress

string

created_by

object

integer

name

string

email

string

message

string

Example

{
  "code": 200,
  "data": {
    "id": 126,
    "name": "tir-job-021915025656",
    "project_id": 4528,
    "input_dataset": null,
    "input_dataset_config": {
      "dataset_path": null,
      "hf_dataset_name": "GAIR/o1-journey",
      "custom_hf_dataset_name": "",
      "dataset_split": "train",
      "input_column": "question",
      "output_column": "answer",
      "num_rows_limit": -1,
      "dataset_type": "huggingface"
    },
    "output_dataset": {
      "id": 1617,
      "name": "async-invocations-02171142022",
      "storage_type": "managed",
      "bucket": {
        "id": 3068,
        "bucket_name": "d-gpu-6a93eb6a-5a3e-411e-80ec-b91b31e7a93f",
        "bucket_url": "s3://d-gpu-6a93eb6a-5a3e-411e-80ec-b91b31e7a93f/",
        "endpoint": "https://objectstore.e2enetworks.net"
      }
    },
    "framework": {
      "id": 2,
      "name": "general_assistant",
      "display_name": "General Assistant",
      "metrics": [
        {
          "name": "relevance_metric",
          "display_name": "Relevance"
        }
      ]
    },
    "evaluator_llm_name": "llama3_2_3b_instruct",
    "evaluation_config": {
      "temperature": 0,
      "max_tokens": 1024,
      "top_p": 1
    },
    "status": "Deleting",
    "run": {
      "id": 2787,
      "name": "tir-job-021915025656",
      "state": "Succeeded",
      "progress": "1/1"
    },
    "created_by": {
      "id": 4877,
      "name": "Meghna Meghna",
      "email": "meghna@e2enetworks.com"
    }
  },
  "message": "Success"
}