10 lines
1.0 KiB
Markdown
10 lines
1.0 KiB
Markdown
## Interface `MlTrainedModelInferenceStats`
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| Name | Type | Description |
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| `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. |
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| `failure_count` | [integer](./integer.md) | The number of failures when using the model for inference. |
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| `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. |
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| `missing_all_fields_count` | [integer](./integer.md) | The number of inference calls where all the training features for the model were missing. |
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| `timestamp` | [EpochTime](./EpochTime.md)<[UnitMillis](./UnitMillis.md)> | The time when the statistics were last updated. |
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