## Interface `MlTrainedModelInferenceStats`

| Name | Type | Description |
| - | - | - |
| `cache_miss_count` | [integer](./integer.md) | The number of times the model was loaded for inference and was not retrieved from the cache. If this number is close to the `inference_count`, the cache is not being appropriately used. This can be solved by increasing the cache size or its time-to-live (TTL). Refer to general machine learning settings for the appropriate settings. |
| `failure_count` | [integer](./integer.md) | The number of failures when using the model for inference. |
| `inference_count` | [integer](./integer.md) | The total number of times the model has been called for inference. This is across all inference contexts, including all pipelines. |
| `missing_all_fields_count` | [integer](./integer.md) | The number of inference calls where all the training features for the model were missing. |
| `timestamp` | [EpochTime](./EpochTime.md)<[UnitMillis](./UnitMillis.md)> | The time when the statistics were last updated. |