Evaluate a trained model
Generally available; Added in 8.3.0
POST
/_ml/trained_models/{model_id}/_infer
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data-scrollable="false"
data-headings="false"
aria-expanded="false"
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role="menu"
tabindex="0">
Console
POST _ml/trained_models/lang_ident_model_1/_infer
{
"docs":[{"text": "The fool doth think he is wise, but the wise man knows himself to be a fool."}]
}resp = client.ml.infer_trained_model(
model_id="lang_ident_model_1",
docs=[
{
"text": "The fool doth think he is wise, but the wise man knows himself to be a fool."
}
],
)const response = await client.ml.inferTrainedModel({
model_id: "lang_ident_model_1",
docs: [
{
text: "The fool doth think he is wise, but the wise man knows himself to be a fool.",
},
],
});response = client.ml.infer_trained_model(
model_id: "lang_ident_model_1",
body: {
"docs": [
{
"text": "The fool doth think he is wise, but the wise man knows himself to be a fool."
}
]
}
)$resp = $client->ml()->inferTrainedModel([
"model_id" => "lang_ident_model_1",
"body" => [
"docs" => array(
[
"text" => "The fool doth think he is wise, but the wise man knows himself to be a fool.",
],
),
],
]);curl -X POST -H "Authorization: ApiKey $ELASTIC_API_KEY" -H "Content-Type: application/json" -d '{"docs":[{"text":"The fool doth think he is wise, but the wise man knows himself to be a fool."}]}' "$ELASTICSEARCH_URL/_ml/trained_models/lang_ident_model_1/_infer"client.ml().inferTrainedModel(i -> i
.docs(Map.of("text", JsonData.fromJson("\"The fool doth think he is wise, but the wise man knows himself to be a fool.\"")))
.modelId("lang_ident_model_1")
);
Request example
An example body for a `POST _ml/trained_models/lang_ident_model_1/_infer` request.
{
"docs":[{"text": "The fool doth think he is wise, but the wise man knows himself to be a fool."}]
}