阅读/理解澄清查询结果

Question

我在阅读/理解Clarifai的API查询结果时遇到麻烦。下面是我的curl查询通过php。一切似乎都工作，但我得到的结果(见下面的例子)不符合他们的网站上测试的结果。在网站模型预测值范围从0.0到1.0(越接近1.0越真实)。但是，通过API，我得到了诸如9.800707E-13这样的值。API中使用的范围是什么?

//initiate curl
$ch = curl_init();
//set up curl options
curl_setopt($ch, CURLOPT_URL, 'https://api.clarifai.com/v2/models/my-model/versions/25cd8d254f9542a2a0473d07c2e02ccf/outputs');
curl_setopt($ch, CURLOPT_RETURNTRANSFER, 1);
curl_setopt($ch, CURLOPT_POST, 1);
curl_setopt($ch, CURLOPT_POSTFIELDS, "{"inputs": [{"data": {"image": {"url": "https://live.staticflickr.com/4017/4273847676_9920e12771_b.jpg"}}}]}");
//set up headers array
$headers = array();
$headers[] = 'Authorization: Key dba0e6dc60414f52af51742cd655cab5';
$headers[] = 'Content-Type: application/json';
curl_setopt($ch, CURLOPT_HTTPHEADER, $headers);
//execute curl, check for error and close
$result = curl_exec($ch);
if (curl_errno($ch)) echo 'Error:' . curl_error($ch);
curl_close($ch);
//decode json to an array
$result = json_decode($result, true);

//to test
echo "<pre>"; print_r($result); echo "</pre>";

下面是json结果返回的概念测试:

[data] => Array
(
[concepts] => Array
(
[0] => Array
(
[id] => Plastic-Straw
[name] => Plastic-Straw
[value] => 0.9999347
[app_id] => 8c51e25474ce4d11a2eb4b390c80203a
)
[1] => Array
(
[id] => Straw
[name] => Straw
[value] => 9.800707E-13
[app_id] => 8c51e25474ce4d11a2eb4b390c80203a
)
)
)

编辑:以下是未格式化的JSON输出。

{"status":{"code":10000,"description":"Ok","req_id":"e6a9b93a24854921a1b694bedb0d882a"},"outputs":[{"id":"542ad9f40d704cd19e0b964ab1c34737","status":{"code":10000,"description":"Ok"},"created_at":"2021-01-25T19:43:55.966102577Z","model":{"id":"last-straw-model","name":"Last Straw Model","created_at":"2021-01-06T14:24:36.329385Z","app_id":"8c51e25474ce4d11a2eb4b390c80203a","output_info":{"output_config":{"concepts_mutually_exclusive":false,"closed_environment":true,"max_concepts":0,"min_value":0},"message":"Show output_info with: GET /models/{model_id}/output_info","type":"concept","type_ext":"concept"},"model_version":{"id":"25cd8d254f9542a8a0473d07c2e02bbf","created_at":"2021-01-08T13:34:29.630929Z","status":{"code":21100,"description":"Model is trained and ready"},"total_input_count":77,"completed_at":"2021-01-08T13:34:31.506648Z"},"input_info":{},"train_info":{},"model_type_id":"embedding-classifier"},"input":{"id":"f24405b5483d429381f9e6aeb54d7941","data":{"image":{"url":"https://live.staticflickr.com/4017/4273847676_9920e12771_b.jpg"}}},"data":{"concepts":[{"id":"Plastic-Straw","name":"Plastic-Straw","value":0.9999347,"app_id":"8c51e25474ce4d11a2eb4b390c80203a"},{"id":"Straw","name":"Straw","value":9.800707e-13,"app_id":"8c51e25474ce4d11a2eb4b390c80203a"}]}}]}

Answer 1

e被附加到数字的末尾，以抽象出它们非常大的值。9.800707E-13只是用来避免写入0.0000000098等…

它用于非常大的正值或负值(e13或e-13, e5, e-10等…)

在预测的上下文中，这意味着概率接近于零。