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<1> The unique identifier or alias for the trained model.
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<2> The optional inference config which overrides the model's default settings
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<3> Map the value of `avg_agg` to the model's input field `avg_cost`
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@@ -47,7 +47,7 @@ A `inference` aggregation looks like this in isolation:
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[options="header"]
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|===
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|Parameter Name |Description |Required |Default Value
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| `model_id` | The ID of the model to load and infer against | Required | -
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| `model_id` | The ID or alias for the trained model. | Required | -
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| `inference_config` | Contains the inference type and its options. There are two types: <<inference-agg-regression-opt,`regression`>> and <<inference-agg-classification-opt,`classification`>> | Optional | -
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| `buckets_path` | Defines the paths to the input aggregations and maps the aggregation names to the field names expected by the model.
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See <<buckets-path-syntax>> for more details | Required | -
@@ -181,5 +181,5 @@ GET kibana_sample_data_logs/_search
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<1> A composite bucket aggregation that aggregates the data by `client_ip`.
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<2> A series of metrics and bucket sub-aggregations.
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<3> {infer-cap} bucket aggregation that contains the model ID and maps the
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<3> {infer-cap} bucket aggregation that specifies the trained model and maps the
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