# Preview features used by data frame analytics


**POST /_ml/data_frame/analytics/{id}/_preview**

**All methods and paths for this operation:**

<div>
                      <span class="operation-verb get">GET</span>
                      <span class="operation-path">/_ml/data_frame/analytics/_preview</span>
                      </div>
                    <div>
                      <span class="operation-verb post">POST</span>
                      <span class="operation-path">/_ml/data_frame/analytics/_preview</span>
                      </div>
                    <div>
                      <span class="operation-verb get">GET</span>
                      <span class="operation-path">/_ml/data_frame/analytics/{id}/_preview</span>
                      </div>
                    <div>
                      <span class="operation-verb post">POST</span>
                      <span class="operation-path">/_ml/data_frame/analytics/{id}/_preview</span>
                      </div>
                    

Preview the extracted features used by a data frame analytics config.

## Required authorization

* Cluster privileges: `monitor_ml`



## Servers
- http://api.example.com: http://api.example.com ()


## Authentication methods
- Api key auth
- Basic auth
- Bearer auth


## Parameters

### Path parameters
- **id** (string)
  Identifier for the data frame analytics job.


### Body: application/json (object)

- **config** (object)
  A data frame analytics config as described in create data frame analytics
  jobs. Note that `id` and `dest` don’t need to be provided in the context of
  this API.


## Responses
### 200


#### Body: application/json (object)
- **feature_values** (array[object])
  An array of objects that contain feature name and value pairs. The features have been processed and indicate what will be sent to the model for training.


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