curl --request POST \
  --url https://api.orbit.devotel.io/api/v1/cdp/predictive-models/{model}/train \
  --header 'Authorization: Bearer <token>'

import requests

url = "https://api.orbit.devotel.io/api/v1/cdp/predictive-models/{model}/train"

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

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

print(response.text)

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

fetch('https://api.orbit.devotel.io/api/v1/cdp/predictive-models/{model}/train', 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.orbit.devotel.io/api/v1/cdp/predictive-models/{model}/train",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  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.orbit.devotel.io/api/v1/cdp/predictive-models/{model}/train"

	req, _ := http.NewRequest("POST", 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.post("https://api.orbit.devotel.io/api/v1/cdp/predictive-models/{model}/train")
  .header("Authorization", "Bearer <token>")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.orbit.devotel.io/api/v1/cdp/predictive-models/{model}/train")

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

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

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

{
  "data": {
    "status": "trained",
    "model": "<string>",
    "kind": "classification",
    "algorithm": "<string>",
    "output_unit": "<string>",
    "feature_names": [
      "<string>"
    ],
    "training": {
      "sample_count": 123
    },
    "intercept": 123,
    "coefficients": [
      {
        "feature": "<string>",
        "weight": 123
      }
    ],
    "reason": "<string>",
    "sample_count": 123
  },
  "meta": {
    "request_id": "<string>",
    "timestamp": "2023-11-07T05:31:56Z",
    "docs_url": "<string>"
  }
}