List Models Trained on Dataset

List all models with at least one version trained on any version of this dataset.

GET /datasets/{dataset_id}/models

List Models Trained on Dataset

cURL

curl --request GET \
  --url https://api.woodwide.ai/datasets/{dataset_id}/models \
  --header 'Authorization: Bearer <token>'

import requests

url = "https://api.woodwide.ai/datasets/{dataset_id}/models"

headers = {"Authorization": "Bearer <token>"}

response = requests.get(url, headers=headers)

print(response.text)

const options = {method: 'GET', headers: {Authorization: 'Bearer <token>'}};

fetch('https://api.woodwide.ai/datasets/{dataset_id}/models', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.woodwide.ai/datasets/{dataset_id}/models",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"net/http"
	"io"
)

func main() {

	url := "https://api.woodwide.ai/datasets/{dataset_id}/models"

	req, _ := http.NewRequest("GET", url, nil)

	req.Header.Add("Authorization", "Bearer <token>")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.get("https://api.woodwide.ai/datasets/{dataset_id}/models")
  .header("Authorization", "Bearer <token>")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.woodwide.ai/datasets/{dataset_id}/models")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Get.new(url)
request["Authorization"] = 'Bearer <token>'

response = http.request(request)
puts response.read_body

200

{
  "next_cursor": null,
  "items": [
    {
      "model_id": "b2c3d4e5-0000-0000-0000-000000000001",
      "model_type": "prediction",
      "status": "ready",
      "current_metrics": {
        "accuracy": 0.98
      },
      "current_version": {
        "version_id": "b2c3d4e5-0000-0000-0000-000000000002",
        "version": 1,
        "status": "ready",
        "metrics": {
          "accuracy": 0.98
        }
      },
      "training_dataset_id": "a1b2c3d4-0000-0000-0000-000000000001",
      "training_dataset_name": "retention_customers",
      "label_column": "churnReason",
      "created_at": "2025-01-15T11:00:00Z",
      "updated_at": "2025-01-15T11:05:00Z"
    }
  ]
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>"
    }
  ]
}

Authorizations

Authorization · string · header · required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Path Parameters

dataset_id · string<uuid> · required

Query Parameters

limit · integer · default: 200

Maximum number of models to return (default 200, max 200).

Required range: 1 <= x <= 200

Response

200

application/json

Successful Response

Response for listing models.

Returns models in the current organization. Each model's status field reflects the latest version: ready, processing, or failed.

items · Model · object[] · required

Show child attributes

next_cursor · string | null