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Auto-generated code for 8.13 (#2263)

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Elastic Machine
2024-06-03 19:33:01 +01:00
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parent a8d015e6c3
commit 5d36257241
4 changed files with 69 additions and 21 deletions
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docs/reference.asciidoc
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@ -4243,7 +4243,7 @@ a new date field is added instead of string.
not used at all by Elasticsearch, but can be used to store
application-specific metadata.
** *`numeric_detection` (Optional, boolean)*: Automatically map strings into numeric data types for all fields.
** *`properties` (Optional, Record<string, { type } | { boost, fielddata, index, null_value, type } | { type, enabled, null_value, boost, coerce, script, on_script_error, ignore_malformed, time_series_metric, analyzer, eager_global_ordinals, index, index_options, index_phrases, index_prefixes, norms, position_increment_gap, search_analyzer, search_quote_analyzer, term_vector, format, precision_step, locale } | { relations, eager_global_ordinals, type } | { boost, eager_global_ordinals, index, index_options, normalizer, norms, null_value, split_queries_on_whitespace, time_series_dimension, type } | { type, fields, meta, copy_to } | { type } | { positive_score_impact, type } | { positive_score_impact, type } | { analyzer, index, index_options, max_shingle_size, norms, search_analyzer, search_quote_analyzer, term_vector, type } | { analyzer, boost, eager_global_ordinals, fielddata, fielddata_frequency_filter, index, index_options, index_phrases, index_prefixes, norms, position_increment_gap, search_analyzer, search_quote_analyzer, term_vector, type } | { type } | { type, null_value } | { boost, format, ignore_malformed, index, null_value, precision_step, type } | { boost, fielddata, format, ignore_malformed, index, null_value, precision_step, locale, type } | { type, default_metric, metrics, time_series_metric } | { type, dims, similarity, index, index_options } | { type } | { boost, depth_limit, doc_values, eager_global_ordinals, index, index_options, null_value, similarity, split_queries_on_whitespace, type } | { enabled, include_in_parent, include_in_root, type } | { enabled, subobjects, type } | { analyzer, contexts, max_input_length, preserve_position_increments, preserve_separators, search_analyzer, type } | { value, type } | { path, type } | { ignore_malformed, type } | { boost, index, ignore_malformed, null_value, on_script_error, script, time_series_dimension, type } | { type } | { analyzer, boost, index, null_value, enable_position_increments, type } | { ignore_malformed, ignore_z_value, null_value, index, on_script_error, script, type } | { coerce, ignore_malformed, ignore_z_value, orientation, strategy, type } | { ignore_malformed, ignore_z_value, null_value, type } | { coerce, ignore_malformed, ignore_z_value, orientation, type } | { type, null_value } | { type, null_value } | { type, null_value } | { type, null_value } | { type, null_value } | { type, null_value } | { type, null_value, scaling_factor } | { type, null_value } | { type, null_value } | { format, type } | { type } | { type } | { type } | { type } | { type }>)*: Mapping for a field. For new fields, this mapping can include:
** *`properties` (Optional, Record<string, { type } | { boost, fielddata, index, null_value, type } | { type, enabled, null_value, boost, coerce, script, on_script_error, ignore_malformed, time_series_metric, analyzer, eager_global_ordinals, index, index_options, index_phrases, index_prefixes, norms, position_increment_gap, search_analyzer, search_quote_analyzer, term_vector, format, precision_step, locale } | { relations, eager_global_ordinals, type } | { boost, eager_global_ordinals, index, index_options, script, on_script_error, normalizer, norms, null_value, split_queries_on_whitespace, time_series_dimension, type } | { type, fields, meta, copy_to } | { type } | { positive_score_impact, type } | { positive_score_impact, type } | { analyzer, index, index_options, max_shingle_size, norms, search_analyzer, search_quote_analyzer, term_vector, type } | { analyzer, boost, eager_global_ordinals, fielddata, fielddata_frequency_filter, index, index_options, index_phrases, index_prefixes, norms, position_increment_gap, search_analyzer, search_quote_analyzer, term_vector, type } | { type } | { type, null_value } | { boost, format, ignore_malformed, index, null_value, precision_step, type } | { boost, fielddata, format, ignore_malformed, index, null_value, precision_step, locale, type } | { type, default_metric, metrics, time_series_metric } | { type, dims, similarity, index, index_options } | { type } | { boost, depth_limit, doc_values, eager_global_ordinals, index, index_options, null_value, similarity, split_queries_on_whitespace, type } | { enabled, include_in_parent, include_in_root, type } | { enabled, subobjects, type } | { analyzer, contexts, max_input_length, preserve_position_increments, preserve_separators, search_analyzer, type } | { value, type } | { path, type } | { ignore_malformed, type } | { boost, index, ignore_malformed, null_value, on_script_error, script, time_series_dimension, type } | { type } | { analyzer, boost, index, null_value, enable_position_increments, type } | { ignore_malformed, ignore_z_value, null_value, index, on_script_error, script, type } | { coerce, ignore_malformed, ignore_z_value, orientation, strategy, type } | { ignore_malformed, ignore_z_value, null_value, type } | { coerce, ignore_malformed, ignore_z_value, orientation, type } | { type, null_value } | { type, null_value } | { type, null_value } | { type, null_value } | { type, null_value } | { type, null_value } | { type, null_value, scaling_factor } | { type, null_value } | { type, null_value } | { format, type } | { type } | { type } | { type } | { type } | { type }>)*: Mapping for a field. For new fields, this mapping can include:
- Field name
- Field data type
@ -6935,9 +6935,20 @@ Updates certain properties of trained model deployment.
{ref}/update-trained-model-deployment.html[Endpoint documentation]
[source,ts]
----
client.ml.updateTrainedModelDeployment()
client.ml.updateTrainedModelDeployment({ model_id })
----
[discrete]
==== Arguments
* *Request (object):*
** *`model_id` (string)*: The unique identifier of the trained model. Currently, only PyTorch models are supported.
** *`number_of_allocations` (Optional, number)*: The number of model allocations on each node where the model is deployed.
All allocations on a node share the same copy of the model in memory but use
a separate set of threads to evaluate the model.
Increasing this value generally increases the throughput.
If this setting is greater than the number of hardware threads
it will automatically be changed to a value less than the number of hardware threads.
[discrete]
==== upgrade_job_snapshot