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@@ -50,6 +50,25 @@ IMPORTANT: If you want to use {ml} features in your cluster, you must have
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`xpack.ml.enabled` set to `true` on all master-eligible nodes. This is the
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default behavior.
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+`xpack.ml.inference_model.cache_size`::
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+The maximum inference cache size allowed. The inference cache exists in the JVM
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+heap on each ingest node. The cache affords faster processing times for the
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+`inference` processor. The value can be a static byte sized value (i.e. "2gb")
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+or a percentage of total allocated heap. The default is "40%".
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+
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+`xpack.ml.inference_model.time_to_live`::
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+The time to live (TTL) for models in the inference model cache. The TTL is
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+calculated from last access. The `inference` processor attempts to load the
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+model from cache. If the `inference` processor does not receive any documents
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+for the duration of the TTL, the referenced model is flagged for eviction from
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+the cache. If a document is processed later, the model is again loaded into the
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+cache. Defaults to `5m`.
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+
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+`xpack.ml.max_inference_processors` (<<cluster-update-settings,Dynamic>>)::
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+The total number of `inference` type processors allowed across all ingest
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+pipelines. Once the limit is reached, adding an `inference` processor to
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+a pipeline is disallowed. Defaults to `50`.
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+
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`xpack.ml.max_machine_memory_percent` (<<cluster-update-settings,Dynamic>>)::
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The maximum percentage of the machine's memory that {ml} may use for running
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analytics processes. (These processes are separate to the {es} JVM.) Defaults to
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Benjamin Trent