Create Logged Model

curl --request POST \
  --url https://mycluster.domino.tech/api/2.0/mlflow/logged-models \
  --header 'Content-Type: application/json' \
  --data '
{
  "experiment_id": "<string>",
  "name": "<string>",
  "model_type": "<string>",
  "source_run_id": "<string>",
  "params": [
    {
      "key": "<string>",
      "value": "<string>"
    }
  ],
  "tags": [
    {
      "key": "<string>",
      "value": "<string>"
    }
  ]
}
'

import requests

url = "https://mycluster.domino.tech/api/2.0/mlflow/logged-models"

payload = {
    "experiment_id": "<string>",
    "name": "<string>",
    "model_type": "<string>",
    "source_run_id": "<string>",
    "params": [
        {
            "key": "<string>",
            "value": "<string>"
        }
    ],
    "tags": [
        {
            "key": "<string>",
            "value": "<string>"
        }
    ]
}
headers = {"Content-Type": "application/json"}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'Content-Type': 'application/json'},
  body: JSON.stringify({
    experiment_id: '<string>',
    name: '<string>',
    model_type: '<string>',
    source_run_id: '<string>',
    params: [{key: '<string>', value: '<string>'}],
    tags: [{key: '<string>', value: '<string>'}]
  })
};

fetch('https://mycluster.domino.tech/api/2.0/mlflow/logged-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://mycluster.domino.tech/api/2.0/mlflow/logged-models",
  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([
    'experiment_id' => '<string>',
    'name' => '<string>',
    'model_type' => '<string>',
    'source_run_id' => '<string>',
    'params' => [
        [
                'key' => '<string>',
                'value' => '<string>'
        ]
    ],
    'tags' => [
        [
                'key' => '<string>',
                'value' => '<string>'
        ]
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "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://mycluster.domino.tech/api/2.0/mlflow/logged-models"

	payload := strings.NewReader("{\n  \"experiment_id\": \"<string>\",\n  \"name\": \"<string>\",\n  \"model_type\": \"<string>\",\n  \"source_run_id\": \"<string>\",\n  \"params\": [\n    {\n      \"key\": \"<string>\",\n      \"value\": \"<string>\"\n    }\n  ],\n  \"tags\": [\n    {\n      \"key\": \"<string>\",\n      \"value\": \"<string>\"\n    }\n  ]\n}")

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

	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://mycluster.domino.tech/api/2.0/mlflow/logged-models")
  .header("Content-Type", "application/json")
  .body("{\n  \"experiment_id\": \"<string>\",\n  \"name\": \"<string>\",\n  \"model_type\": \"<string>\",\n  \"source_run_id\": \"<string>\",\n  \"params\": [\n    {\n      \"key\": \"<string>\",\n      \"value\": \"<string>\"\n    }\n  ],\n  \"tags\": [\n    {\n      \"key\": \"<string>\",\n      \"value\": \"<string>\"\n    }\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://mycluster.domino.tech/api/2.0/mlflow/logged-models")

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

request = Net::HTTP::Post.new(url)
request["Content-Type"] = 'application/json'
request.body = "{\n  \"experiment_id\": \"<string>\",\n  \"name\": \"<string>\",\n  \"model_type\": \"<string>\",\n  \"source_run_id\": \"<string>\",\n  \"params\": [\n    {\n      \"key\": \"<string>\",\n      \"value\": \"<string>\"\n    }\n  ],\n  \"tags\": [\n    {\n      \"key\": \"<string>\",\n      \"value\": \"<string>\"\n    }\n  ]\n}"

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

{
  "model": {
    "info": {
      "model_id": "logged_model_12345",
      "experiment_id": "exp_001",
      "name": "my_awesome_model",
      "creation_timestamp_ms": 1678886400000,
      "last_updated_timestamp_ms": 1678887000000,
      "artifact_uri": "s3://my-bucket/models/my_awesome_model",
      "status": "LOGGED_MODEL_STATUS_UNSPECIFIED",
      "creator_id": 12345,
      "model_type": "Classifier",
      "source_run_id": "run_abcd1234efgh5678",
      "status_message": "Model successfully logged.",
      "tags": [
        {
          "key": "<string>",
          "value": "<string>"
        }
      ],
      "registrations": [
        {
          "name": "<string>",
          "version": "<string>"
        }
      ]
    },
    "data": {
      "params": [
        {
          "key": "<string>",
          "value": "<string>"
        }
      ],
      "metrics": [
        {
          "key": "<string>",
          "step": "0",
          "timestamp": 123,
          "value": 123
        }
      ]
    }
  }
}