---
type: api
title: Delete a trained model alias
description: This API deletes an existing model alias that refers to a trained model. If
url: https://www.elastic.co/elastic/docs-builder/docs/4493/api/doc/elasticsearch/v8/operation/operation-ml-delete-trained-model-alias
resource: https://www.elastic.co/elastic/docs-builder/docs/4493/api/doc/elasticsearch/v8/operation/operation-ml-delete-trained-model-alias
products:
  - Elasticsearch
---

# Delete a trained model alias

Availability: Generally available since 7.13

## Paths

- `DELETE` `/_ml/trained_models/{model_id}/model_aliases/{model_alias}`

#### Path parameters

- `model_id` (string) — required
  The trained model ID to which the model alias refers.
- `model_alias` (string) — required
  The model alias to delete.

## Description

This API deletes an existing model alias that refers to a trained model. If
the model alias is missing or refers to a model other than the one identified
by the `model_id`, this API returns an error.

## Required authorization

- Cluster privileges: `manage_ml`

## Authentication

- Api key: `Authorization: <value>`
  Elasticsearch APIs support key-based authentication.
  You must create an API key and use the encoded value in the request header.
  For example:
  
  
  ```
  curl -X GET "${ES_URL}/_cat/indices?v=true" \
    -H "Authorization: ApiKey ${API_KEY}"
  ```
  
  To get API keys, use the `/_security/api_key` APIs.
- Basic: `Authorization: Basic <credentials>`
- Bearer: `Authorization: Bearer <token>`
  Elasticsearch APIs support the use of bearer tokens in the `Authorization` HTTP header to authenticate with the API.
  For examples, refer to [Token-based authentication services](https://www.elastic.co/guide/en/elasticsearch/reference/current/token-authentication-services.html)

## Response

`application/json`

- `acknowledged` (boolean)
  For a successful response, this value is always true. On failure, an exception is returned instead.
## Code examples

#### Console

```console
DELETE _ml/trained_models/flight-delay-prediction-1574775339910/model_aliases/flight_delay_model
```

#### JavaScript

```javascript
const response = await client.ml.deleteTrainedModelAlias({
  model_id: "flight-delay-prediction-1574775339910",
  model_alias: "flight_delay_model",
});
```

#### Python

```python
resp = client.ml.delete_trained_model_alias(
    model_id="flight-delay-prediction-1574775339910",
    model_alias="flight_delay_model",
)
```

#### curl

```curl
curl -X DELETE "$ELASTICSEARCH_URL/_ml/trained_models/flight-delay-prediction-1574775339910/model_aliases/flight_delay_model" \
  -H "Authorization: ApiKey $ELASTIC_API_KEY"
```

#### Java

```java
client.ml().deleteTrainedModelAlias(d -> d
    .modelAlias("flight_delay_model")
    .modelId("flight-delay-prediction-1574775339910")
);
```

#### C#

```c#
var response = await client.MachineLearning.DeleteTrainedModelAliasAsync(modelId: "flight-delay-prediction-1574775339910", modelAlias: "flight_delay_model");
```

#### PHP

```php
$resp = $client->ml()->deleteTrainedModelAlias([
    "model_id" => "flight-delay-prediction-1574775339910",
    "model_alias" => "flight_delay_model",
]);
```

#### Ruby

```ruby
response = client.ml.delete_trained_model_alias(
  model_id: "flight-delay-prediction-1574775339910",
  model_alias: "flight_delay_model"
)
```

## Response examples

#### Ml delete trained model alias response example1

A successful response when deleting a trained model alias.

```json
{
  "acknowledged": true
}
```