curl --request POST \
  --url https://api-dev.narrative.io/model-training/run \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "base_model_id": 57,
  "dataset_id": 10736,
  "training_config": {
    "instance_type": "ml.g5.12xlarge"
  },
  "output_model": {
    "name": "churn-predictor",
    "collaborators": {
      "view": {
        "type": "none"
      },
      "train": {
        "type": "none"
      },
      "deploy": {
        "type": "none"
      }
    }
  }
}
'

import requests

url = "https://api-dev.narrative.io/model-training/run"

payload = {
    "base_model_id": 57,
    "dataset_id": 10736,
    "training_config": { "instance_type": "ml.g5.12xlarge" },
    "output_model": {
        "name": "churn-predictor",
        "collaborators": {
            "view": { "type": "none" },
            "train": { "type": "none" },
            "deploy": { "type": "none" }
        }
    }
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    base_model_id: 57,
    dataset_id: 10736,
    training_config: {instance_type: 'ml.g5.12xlarge'},
    output_model: {
      name: 'churn-predictor',
      collaborators: {view: {type: 'none'}, train: {type: 'none'}, deploy: {type: 'none'}}
    }
  })
};

fetch('https://api-dev.narrative.io/model-training/run', 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-dev.narrative.io/model-training/run",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'base_model_id' => 57,
    'dataset_id' => 10736,
    'training_config' => [
        'instance_type' => 'ml.g5.12xlarge'
    ],
    'output_model' => [
        'name' => 'churn-predictor',
        'collaborators' => [
                'view' => [
                                'type' => 'none'
                ],
                'train' => [
                                'type' => 'none'
                ],
                'deploy' => [
                                'type' => 'none'
                ]
        ]
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

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

curl_close($curl);

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

package main

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

func main() {

	url := "https://api-dev.narrative.io/model-training/run"

	payload := strings.NewReader("{\n  \"base_model_id\": 57,\n  \"dataset_id\": 10736,\n  \"training_config\": {\n    \"instance_type\": \"ml.g5.12xlarge\"\n  },\n  \"output_model\": {\n    \"name\": \"churn-predictor\",\n    \"collaborators\": {\n      \"view\": {\n        \"type\": \"none\"\n      },\n      \"train\": {\n        \"type\": \"none\"\n      },\n      \"deploy\": {\n        \"type\": \"none\"\n      }\n    }\n  }\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

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

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

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api-dev.narrative.io/model-training/run")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"base_model_id\": 57,\n  \"dataset_id\": 10736,\n  \"training_config\": {\n    \"instance_type\": \"ml.g5.12xlarge\"\n  },\n  \"output_model\": {\n    \"name\": \"churn-predictor\",\n    \"collaborators\": {\n      \"view\": {\n        \"type\": \"none\"\n      },\n      \"train\": {\n        \"type\": \"none\"\n      },\n      \"deploy\": {\n        \"type\": \"none\"\n      }\n    }\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api-dev.narrative.io/model-training/run")

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

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"base_model_id\": 57,\n  \"dataset_id\": 10736,\n  \"training_config\": {\n    \"instance_type\": \"ml.g5.12xlarge\"\n  },\n  \"output_model\": {\n    \"name\": \"churn-predictor\",\n    \"collaborators\": {\n      \"view\": {\n        \"type\": \"none\"\n      },\n      \"train\": {\n        \"type\": \"none\"\n      },\n      \"deploy\": {\n        \"type\": \"none\"\n      }\n    }\n  }\n}"

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

{
  "job_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a"
}

{
  "error": "Unauthorized",
  "error_description": "You are not authorized to use this endpoint."
}