# Estimate job model memory usage

**POST /_ml/anomaly_detectors/_estimate_model_memory**

Make an estimation of the memory usage for an anomaly detection job model.
The estimate is based on analysis configuration details for the job and cardinality
estimates for the fields it references.

## Required authorization

* Cluster privileges: `manage_ml`



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


## Authentication methods
- Api key auth


## Parameters



### Body: application/json (object)

- **analysis_config** (object)
  For a list of the properties that you can specify in the
  `analysis_config` component of the body of this API.
- **max_bucket_cardinality** (object)
  Estimates of the highest cardinality in a single bucket that is observed
  for influencer fields over the time period that the job analyzes data.
  To produce a good answer, values must be provided for all influencer
  fields. Providing values for fields that are not listed as `influencers`
  has no effect on the estimation.
- **overall_cardinality** (object)
  Estimates of the cardinality that is observed for fields over the whole
  time period that the job analyzes data. To produce a good answer, values
  must be provided for fields referenced in the `by_field_name`,
  `over_field_name` and `partition_field_name` of any detectors. Providing
  values for other fields has no effect on the estimation. It can be
  omitted from the request if no detectors have a `by_field_name`,
  `over_field_name` or `partition_field_name`.


## Responses
### 200


#### Body: application/json (object)
- **model_memory_estimate** (string)



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