Auto-generated code for 8.10 (#2072)
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@ -826,7 +826,7 @@ If `false`, the response does not include the total number of hits matching the
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** *`indices_boost` (Optional, Record<string, number>[])*: Boosts the _score of documents from specified indices.
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** *`docvalue_fields` (Optional, { field, format, include_unmapped }[])*: Array of wildcard (`*`) patterns.
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The request returns doc values for field names matching these patterns in the `hits.fields` property of the response.
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** *`knn` (Optional, { field, query_vector, query_vector_builder, k, num_candidates, boost, filter } | { field, query_vector, query_vector_builder, k, num_candidates, boost, filter }[])*: Defines the approximate kNN search to run.
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** *`knn` (Optional, { field, query_vector, query_vector_builder, k, num_candidates, boost, filter, similarity } | { field, query_vector, query_vector_builder, k, num_candidates, boost, filter, similarity }[])*: Defines the approximate kNN search to run.
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** *`rank` (Optional, { rrf })*: Defines the Reciprocal Rank Fusion (RRF) to use.
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** *`min_score` (Optional, number)*: Minimum `_score` for matching documents.
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Documents with a lower `_score` are not included in the search results.
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@ -1305,7 +1305,7 @@ Defaults to 10,000 hits.
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** *`indices_boost` (Optional, Record<string, number>[])*: Boosts the _score of documents from specified indices.
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** *`docvalue_fields` (Optional, { field, format, include_unmapped }[])*: Array of wildcard (*) patterns. The request returns doc values for field
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names matching these patterns in the hits.fields property of the response.
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** *`knn` (Optional, { field, query_vector, query_vector_builder, k, num_candidates, boost, filter } | { field, query_vector, query_vector_builder, k, num_candidates, boost, filter }[])*: Defines the approximate kNN search to run.
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** *`knn` (Optional, { field, query_vector, query_vector_builder, k, num_candidates, boost, filter, similarity } | { field, query_vector, query_vector_builder, k, num_candidates, boost, filter, similarity }[])*: Defines the approximate kNN search to run.
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** *`min_score` (Optional, number)*: Minimum _score for matching documents. Documents with a lower _score are
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not included in the search results.
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** *`post_filter` (Optional, { bool, boosting, common, combined_fields, constant_score, dis_max, distance_feature, exists, function_score, fuzzy, geo_bounding_box, geo_distance, geo_polygon, geo_shape, has_child, has_parent, ids, intervals, match, match_all, match_bool_prefix, match_none, match_phrase, match_phrase_prefix, more_like_this, multi_match, nested, parent_id, percolate, pinned, prefix, query_string, range, rank_feature, regexp, rule_query, script, script_score, shape, simple_query_string, span_containing, field_masking_span, span_first, span_multi, span_near, span_not, span_or, span_term, span_within, term, terms, terms_set, text_expansion, wildcard, wrapper, type })*
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@ -6234,6 +6234,7 @@ client.ml.putTrainedModelVocabulary({ model_id, vocabulary })
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** *`model_id` (string)*: The unique identifier of the trained model.
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** *`vocabulary` (string[])*: The model vocabulary, which must not be empty.
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** *`merges` (Optional, string[])*: The optional model merges if required by the tokenizer.
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** *`scores` (Optional, number[])*: The optional vocabulary value scores if required by the tokenizer.
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[discrete]
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==== reset_job
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@ -8917,6 +8918,8 @@ client.transform.deleteTransform({ transform_id })
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** *`transform_id` (string)*: Identifier for the transform.
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** *`force` (Optional, boolean)*: If this value is false, the transform must be stopped before it can be deleted. If true, the transform is
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deleted regardless of its current state.
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** *`delete_dest_index` (Optional, boolean)*: If this value is true, the destination index is deleted together with the transform. If false, the destination
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index will not be deleted
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** *`timeout` (Optional, string | -1 | 0)*: Period to wait for a response. If no response is received before the timeout expires, the request fails and returns an error.
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[discrete]
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