Help Center/ ModelArts/ API Reference/ Training Management/ Obtaining Supported Hyperparameter Search Algorithms
Updated on 2026-07-24 GMT+08:00

Obtaining Supported Hyperparameter Search Algorithms

Function

This API is used to query all hyperparameter search algorithms supported by the system.

This API is used when you need to know the hyperparameter search algorithms supported by the system. Before using this API, ensure that you have the access permission. After the query, the API returns the list of hyperparameter search algorithms supported by the system. If you do not have the permission to perform operations, the API will return an error message.

Debugging

You can debug this API through automatic authentication in API Explorer or use the SDK sample code generated by API Explorer.

Authorization Information

Each account has all the permissions required to call all APIs, but IAM users must be assigned the required permissions.

  • If you are using role/policy-based authorization, see Permissions Policies and Supported Actions for details on the required permissions.
  • If you are using identity policy-based authorization, no identity policy-based permission required for calling this API.

URI

GET /v2/{project_id}/search-algorithms

Table 1 Path Parameters

Parameter

Mandatory

Type

Description

project_id

Yes

String

Definition: Project ID. For details, see Obtaining a Project ID and Name.

Constraints: The value can contain 1 to 64 characters. Letters, digits, and hyphens (-) are allowed.

Range: N/A

Default Value: N/A

Request Parameters

None

Response Parameters

Status code: 200

Table 2 Response body parameters

Parameter

Type

Description

search_algo_count

Integer

Definition: Number of hyperparameter search algorithms.

Range: N/A

search_algo_list

Array of search_algo_list objects

Definition: List of all hyperparameter search algorithms.

Table 3 search_algo_list

Parameter

Type

Description

name

String

Definition: Name of the hyperparameter search algorithm.

Range: N/A

params

Array of params objects

Definition: Parameter list of the hyperparameter search algorithm.

description

String

Definition: Description of the hyperparameter search algorithm.

Range: N/A

Table 4 params

Parameter

Type

Description

key

String

Definition: Parameter name of the hyperparameter search algorithm.

Range: N/A

value

String

Definition: Parameter value of the hyperparameter search algorithm.

Range: N/A

type

String

Definition: Parameter type of the hyperparameter search algorithm.

Constraints: N/A.

Range

  • Integer: Integer

  • Float: Floating point number

  • String: String

  • List: List

Default Value: N/A.

Example Requests

The following shows how to query information about the search algorithms supported by coding-free hyperparameter search.

GET https://endpoint/v2/{project_id}/search-algorithms

Example Responses

Status code: 200

ok

{
  "search_algo_count" : 3,
  "search_algo_list" : [ {
    "name" : "bayes_opt_search",
    "params" : [ {
      "key" : "kind",
      "value" : "ucb",
      "type" : "String"
    }, {
      "key" : "kappa",
      "value" : "2.5",
      "type" : "Float"
    }, {
      "key" : "xi",
      "value" : "0.0",
      "type" : "Float"
    }, {
      "key" : "num_samples",
      "value" : "20",
      "type" : "Integer"
    }, {
      "key" : "seed",
      "value" : "1",
      "type" : "Integer"
    } ],
    "description" : "Hyperparameter search using Gaussian process."
  }, {
    "name" : "tpe_search",
    "params" : [ {
      "key" : "gamma",
      "value" : "0.25",
      "type" : "Float"
    }, {
      "key" : "n_initial_points",
      "value" : "20",
      "type" : "Integer"
    }, {
      "key" : "num_samples",
      "value" : "20",
      "type" : "Integer"
    }, {
      "key" : "seed",
      "value" : "1",
      "type" : "Integer"
    } ],
    "description" : "Hyperparameter search using the tree-structured Parzen estimator algorithm."
  }, {
    "name" : "anneal_search",
    "params" : [ {
      "key" : "avg_best_idx",
      "value" : "2.0",
      "type" : "Float"
    }, {
      "key" : "shrink_coef",
      "value" : "0.1",
      "type" : "Float"
    }, {
      "key" : "num_samples",
      "value" : "20",
      "type" : "Integer"
    }, {
      "key" : "seed",
      "value" : "1",
      "type" : "Integer"
    } ],
    "description" : "Hyperparameter search using simulated annealing algorithm."
  } ]
}

Status Codes

Status Code

Description

200

ok

Error Codes

See Error Codes.