curl --request GET \
  --url https://studio.edgeimpulse.com/v1/api/{projectId}/training/anomaly/{learnId}/metadata \
  --header 'x-api-key: <api-key>'

import requests

url = "https://studio.edgeimpulse.com/v1/api/{projectId}/training/anomaly/{learnId}/metadata"

headers = {"x-api-key": "<api-key>"}

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

print(response.text)

const options = {method: 'GET', headers: {'x-api-key': '<api-key>'}};

fetch('https://studio.edgeimpulse.com/v1/api/{projectId}/training/anomaly/{learnId}/metadata', 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://studio.edgeimpulse.com/v1/api/{projectId}/training/anomaly/{learnId}/metadata",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
  CURLOPT_HTTPHEADER => [
    "x-api-key: <api-key>"
  ],
]);

$response = curl_exec($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://studio.edgeimpulse.com/v1/api/{projectId}/training/anomaly/{learnId}/metadata"

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

	req.Header.Add("x-api-key", "<api-key>")

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

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

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.get("https://studio.edgeimpulse.com/v1/api/{projectId}/training/anomaly/{learnId}/metadata")
  .header("x-api-key", "<api-key>")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://studio.edgeimpulse.com/v1/api/{projectId}/training/anomaly/{learnId}/metadata")

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

request = Net::HTTP::Get.new(url)
request["x-api-key"] = '<api-key>'

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

{
  "success": true,
  "created": "2023-11-07T05:31:56Z",
  "scale": [
    123
  ],
  "mean": [
    123
  ],
  "clusters": [
    {
      "center": [
        123
      ],
      "maxError": 123
    }
  ],
  "axes": "`[ 0, 11, 22 ]`",
  "defaultMinimumConfidenceRating": 123,
  "thresholds": [
    {
      "key": "min_score",
      "description": "Score threshold",
      "helpText": "Threshold score for bounding boxes. If the score for a bounding box is below this the box will be discarded.",
      "value": 0.5,
      "suggestedValue": 123,
      "suggestedValueText": "<string>",
      "dropdownOptions": [
        {
          "description": "<string>",
          "value": "<string>"
        }
      ]
    }
  ],
  "error": "<string>",
  "availableModelTypes": [],
  "modelValidationMetrics": [
    {
      "loss": 123,
      "confusionMatrix": [
        [
          31,
          1,
          0
        ],
        [
          2,
          27,
          3
        ],
        [
          1,
          0,
          39
        ]
      ],
      "report": {},
      "onDevicePerformance": [
        {
          "mcu": "<string>",
          "name": "<string>",
          "isDefault": true,
          "latency": 123,
          "tflite": {
            "ramRequired": 123,
            "romRequired": 123,
            "arenaSize": 123,
            "modelSize": 123
          },
          "eon": {
            "ramRequired": 123,
            "romRequired": 123,
            "arenaSize": 123,
            "modelSize": 123
          },
          "hasPerformance": true,
          "eon_ram_optimized": {
            "ramRequired": 123,
            "romRequired": 123,
            "arenaSize": 123,
            "modelSize": 123
          },
          "customMetrics": [
            {
              "name": "<string>",
              "value": "<string>"
            }
          ],
          "profilingError": "<string>"
        }
      ],
      "isSupportedOnMcu": true,
      "additionalMetrics": [
        {
          "name": "<string>",
          "value": "<string>",
          "fullPrecisionValue": 123,
          "tooltipText": "<string>",
          "link": "<string>"
        }
      ],
      "accuracy": 123,
      "predictions": [
        {
          "sampleId": 123,
          "startMs": 123,
          "endMs": 123,
          "prediction": "<string>",
          "label": "<string>",
          "predictionCorrect": true,
          "f1Score": 123,
          "anomalyScores": [
            [
              123
            ]
          ],
          "boundingBoxes": [
            {
              "label": "<string>",
              "x": 123,
              "y": 123,
              "width": 123,
              "height": 123,
              "score": 123
            }
          ],
          "labelMapPredictions": {}
        }
      ],
      "mcuSupportError": "<string>",
      "profilingJobId": 123,
      "profilingJobFailed": true
    }
  ],
  "hasTrainedModel": true
}