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* (Doc+) Cross-link CAT APIs to parent object --------- Co-authored-by: Lisa Cawley <lcawley@elastic.co> Co-authored-by: shainaraskas <58563081+shainaraskas@users.noreply.github.com>
1463 lines
43 KiB
Text
1463 lines
43 KiB
Text
[role="xpack"]
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[[get-trained-models]]
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= Get trained models API
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[subs="attributes"]
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++++
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<titleabbrev>Get trained models</titleabbrev>
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++++
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Retrieves configuration information about {ml-docs}/ml-nlp-deploy-models.html[{infer} trained models].
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[[ml-get-trained-models-request]]
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== {api-request-title}
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`GET _ml/trained_models/` +
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`GET _ml/trained_models/<model_id>` +
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`GET _ml/trained_models/_all` +
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`GET _ml/trained_models/<model_id1>,<model_id2>` +
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`GET _ml/trained_models/<model_id_pattern*>`
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[[ml-get-trained-models-prereq]]
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== {api-prereq-title}
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Requires the `monitor_ml` cluster privilege. This privilege is included in the
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`machine_learning_user` built-in role.
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//[[ml-get-trained-models-desc]]
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//== {api-description-title}
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[[ml-get-trained-models-path-params]]
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== {api-path-parms-title}
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`<model_id>`::
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(Optional, string)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=model-id-or-alias]
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+
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You can get information for multiple trained models in a single API request by
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using a comma-separated list of model IDs or a wildcard expression.
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[[ml-get-trained-models-query-params]]
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== {api-query-parms-title}
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`allow_no_match`::
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(Optional, Boolean)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=allow-no-match-models]
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`decompress_definition`::
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(Optional, Boolean)
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Specifies whether the included model definition should be returned as a JSON map
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(`true`) or in a custom compressed format (`false`). Defaults to `true`.
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`exclude_generated`::
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(Optional, Boolean)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=exclude-generated]
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`from`::
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(Optional, integer)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=from-models]
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`include`::
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(Optional, string)
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A comma delimited string of optional fields to include in the response body. The
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default value is empty, indicating no optional fields are included. Valid
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options are:
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- `definition`: Includes the model definition.
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- `feature_importance_baseline`: Includes the baseline for {feat-imp} values.
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- `hyperparameters`: Includes the information about hyperparameters used to
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train the model. This information consists of the value, the absolute and
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relative importance of the hyperparameter as well as an indicator of whether
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it was specified by the user or tuned during hyperparameter optimization.
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- `total_feature_importance`: Includes the total {feat-imp} for the training
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data set.
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- `definition_status`: Includes the field `fully_defined` indicating if the
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full model definition is present.
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The baseline and total {feat-imp} values are returned in the `metadata` field
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in the response body.
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`size`::
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(Optional, integer)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=size-models]
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`tags`::
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(Optional, string)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=tags]
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[role="child_attributes"]
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[[ml-get-trained-models-results]]
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== {api-response-body-title}
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`trained_model_configs`::
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(array)
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An array of trained model resources, which are sorted by the `model_id` value in
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ascending order.
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+
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.Properties of trained model resources
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[%collapsible%open]
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====
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`created_by`:::
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(string)
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The creator of the trained model.
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`create_time`:::
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(<<time-units,time units>>)
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The time when the trained model was created.
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`default_field_map` :::
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(object)
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A string object that contains the default field map to use when inferring
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against the model. For example, {dfanalytics} may train the model on a specific
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multi-field `foo.keyword`. The analytics job would then supply a default field
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map entry for `"foo" : "foo.keyword"`.
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+
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Any field map described in the inference configuration takes precedence.
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`description`:::
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(string)
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The free-text description of the trained model.
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`model_size_bytes`:::
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(integer)
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The estimated model size in bytes to keep the trained model in memory.
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`estimated_operations`:::
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(integer)
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The estimated number of operations to use the trained model.
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`inference_config`:::
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(object)
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The default configuration for inference. This can be either a `regression`
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or `classification` configuration. It must match the `target_type` of the
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underlying `definition.trained_model`.
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+
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.Properties of `inference_config`
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[%collapsible%open]
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=====
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`classification`::::
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(object)
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Classification configuration for inference.
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+
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.Properties of classification inference
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[%collapsible%open]
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======
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`num_top_classes`:::
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(integer)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-classification-num-top-classes]
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`num_top_feature_importance_values`:::
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(integer)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-classification-num-top-feature-importance-values]
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`prediction_field_type`:::
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(string)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-classification-prediction-field-type]
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`results_field`:::
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(string)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-results-field]
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`top_classes_results_field`:::
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(string)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-classification-top-classes-results-field]
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======
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`fill_mask`::::
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(Optional, object)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-fill-mask]
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+
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.Properties of fill_mask inference
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[%collapsible%open]
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======
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`mask_token`::::
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(Optional, string)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-mask-token]
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`tokenization`::::
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(Optional, object)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization]
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+
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.Properties of tokenization
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[%collapsible%open]
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=======
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`bert`::::
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(Optional, object)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-bert]
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+
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.Properties of bert
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[%collapsible%open]
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========
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`do_lower_case`::::
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(Optional, boolean)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-do-lower-case]
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`max_sequence_length`::::
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(Optional, integer)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-max-sequence-length]
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`truncate`::::
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(Optional, string)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-truncate]
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`with_special_tokens`::::
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(Optional, boolean)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-bert-with-special-tokens]
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========
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`roberta`::::
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(Optional, object)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-roberta]
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+
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.Properties of roberta
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[%collapsible%open]
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========
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`add_prefix_space`::::
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(Optional, boolean)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-roberta-add-prefix-space]
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`max_sequence_length`::::
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(Optional, integer)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-max-sequence-length]
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`truncate`::::
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(Optional, string)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-truncate]
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`with_special_tokens`::::
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(Optional, boolean)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-roberta-with-special-tokens]
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========
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`mpnet`::::
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(Optional, object)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-mpnet]
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+
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.Properties of mpnet
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[%collapsible%open]
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========
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`do_lower_case`::::
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(Optional, boolean)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-do-lower-case]
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`max_sequence_length`::::
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(Optional, integer)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-max-sequence-length]
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`truncate`::::
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(Optional, string)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-truncate]
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`with_special_tokens`::::
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(Optional, boolean)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-mpnet-with-special-tokens]
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========
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`xlm_roberta`::::
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(Optional, object)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-xlm-roberta]
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+
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.Properties of xlm_roberta
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[%collapsible%open]
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========
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`max_sequence_length`::::
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(Optional, integer)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-max-sequence-length]
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`truncate`::::
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(Optional, string)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-truncate]
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`with_special_tokens`::::
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(Optional, boolean)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-roberta-with-special-tokens]
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========
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`bert_ja`::::
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(Optional, object)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-bert-ja]
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+
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.Properties of bert_ja
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[%collapsible%open]
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========
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`do_lower_case`::::
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(Optional, boolean)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-do-lower-case]
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`max_sequence_length`::::
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(Optional, integer)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-max-sequence-length]
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`truncate`::::
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(Optional, string)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-truncate]
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`with_special_tokens`::::
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(Optional, boolean)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-bert-ja-with-special-tokens]
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========
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=======
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`vocabulary`::::
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(Optional, object)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-vocabulary]
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+
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.Properties of vocabulary
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[%collapsible%open]
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=======
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`index`::::
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(Required, string)
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The index where the vocabulary is stored.
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=======
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======
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`ner`::::
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(Optional, object)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-ner]
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+
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.Properties of ner inference
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[%collapsible%open]
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======
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`classification_labels`::::
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(Optional, string)
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An array of classification labels. NER supports only
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Inside-Outside-Beginning labels (IOB) and only persons, organizations, locations,
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and miscellaneous. For example:
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`["O", "B-PER", "I-PER", "B-ORG", "I-ORG", "B-LOC", "I-LOC", "B-MISC", "I-MISC"]`.
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`tokenization`::::
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(Optional, object)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization]
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+
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.Properties of tokenization
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[%collapsible%open]
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=======
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`bert`::::
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(Optional, object)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-bert]
|
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+
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|
.Properties of bert
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[%collapsible%open]
|
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========
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`do_lower_case`::::
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(Optional, boolean)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-do-lower-case]
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`max_sequence_length`::::
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(Optional, integer)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-max-sequence-length]
|
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`truncate`::::
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(Optional, string)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-truncate]
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`with_special_tokens`::::
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(Optional, boolean)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-bert-with-special-tokens]
|
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========
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`roberta`::::
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(Optional, object)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-roberta]
|
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+
|
|
.Properties of roberta
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[%collapsible%open]
|
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========
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`add_prefix_space`::::
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(Optional, boolean)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-roberta-add-prefix-space]
|
|
|
|
`max_sequence_length`::::
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(Optional, integer)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-max-sequence-length]
|
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|
|
`truncate`::::
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(Optional, string)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-truncate]
|
|
|
|
`with_special_tokens`::::
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(Optional, boolean)
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-roberta-with-special-tokens]
|
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========
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`mpnet`::::
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(Optional, object)
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|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-mpnet]
|
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+
|
|
.Properties of mpnet
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[%collapsible%open]
|
|
========
|
|
`do_lower_case`::::
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|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-do-lower-case]
|
|
|
|
`max_sequence_length`::::
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(Optional, integer)
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|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-max-sequence-length]
|
|
|
|
`truncate`::::
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(Optional, string)
|
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include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-truncate]
|
|
|
|
`with_special_tokens`::::
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|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-mpnet-with-special-tokens]
|
|
========
|
|
`xlm_roberta`::::
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|
(Optional, object)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-xlm-roberta]
|
|
+
|
|
.Properties of xlm_roberta
|
|
[%collapsible%open]
|
|
========
|
|
`max_sequence_length`::::
|
|
(Optional, integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-max-sequence-length]
|
|
|
|
`truncate`::::
|
|
(Optional, string)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-truncate]
|
|
|
|
`with_special_tokens`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-roberta-with-special-tokens]
|
|
========
|
|
`bert_ja`::::
|
|
(Optional, object)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-bert-ja]
|
|
+
|
|
.Properties of bert_ja
|
|
[%collapsible%open]
|
|
========
|
|
`do_lower_case`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-do-lower-case]
|
|
|
|
`max_sequence_length`::::
|
|
(Optional, integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-max-sequence-length]
|
|
|
|
`truncate`::::
|
|
(Optional, string)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-truncate]
|
|
|
|
`with_special_tokens`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-bert-ja-with-special-tokens]
|
|
========
|
|
=======
|
|
`vocabulary`::::
|
|
(Optional, object)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-vocabulary]
|
|
+
|
|
.Properties of vocabulary
|
|
[%collapsible%open]
|
|
=======
|
|
`index`::::
|
|
(Required, string)
|
|
The index where the vocabulary is stored
|
|
=======
|
|
======
|
|
|
|
`pass_through`::::
|
|
(Optional, object)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-pass-through]
|
|
+
|
|
.Properties of pass_through inference
|
|
[%collapsible%open]
|
|
======
|
|
`tokenization`::::
|
|
(Optional, object)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization]
|
|
+
|
|
.Properties of tokenization
|
|
[%collapsible%open]
|
|
=======
|
|
`bert`::::
|
|
(Optional, object)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-bert]
|
|
+
|
|
.Properties of bert
|
|
[%collapsible%open]
|
|
========
|
|
`do_lower_case`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-do-lower-case]
|
|
|
|
`max_sequence_length`::::
|
|
(Optional, integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-max-sequence-length]
|
|
|
|
`truncate`::::
|
|
(Optional, string)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-truncate]
|
|
|
|
`with_special_tokens`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-bert-with-special-tokens]
|
|
========
|
|
`roberta`::::
|
|
(Optional, object)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-roberta]
|
|
+
|
|
.Properties of roberta
|
|
[%collapsible%open]
|
|
========
|
|
`add_prefix_space`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-roberta-add-prefix-space]
|
|
|
|
`max_sequence_length`::::
|
|
(Optional, integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-max-sequence-length]
|
|
|
|
`truncate`::::
|
|
(Optional, string)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-truncate]
|
|
|
|
`with_special_tokens`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-roberta-with-special-tokens]
|
|
========
|
|
`mpnet`::::
|
|
(Optional, object)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-mpnet]
|
|
+
|
|
.Properties of mpnet
|
|
[%collapsible%open]
|
|
========
|
|
`do_lower_case`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-do-lower-case]
|
|
|
|
`max_sequence_length`::::
|
|
(Optional, integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-max-sequence-length]
|
|
|
|
`truncate`::::
|
|
(Optional, string)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-truncate]
|
|
|
|
`with_special_tokens`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-mpnet-with-special-tokens]
|
|
========
|
|
`xlm_roberta`::::
|
|
(Optional, object)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-xlm-roberta]
|
|
+
|
|
.Properties of xlm_roberta
|
|
[%collapsible%open]
|
|
========
|
|
`max_sequence_length`::::
|
|
(Optional, integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-max-sequence-length]
|
|
|
|
`truncate`::::
|
|
(Optional, string)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-truncate]
|
|
|
|
`with_special_tokens`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-roberta-with-special-tokens]
|
|
========
|
|
`bert_ja`::::
|
|
(Optional, object)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-bert-ja]
|
|
+
|
|
.Properties of bert_ja
|
|
[%collapsible%open]
|
|
========
|
|
`do_lower_case`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-do-lower-case]
|
|
|
|
`max_sequence_length`::::
|
|
(Optional, integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-max-sequence-length]
|
|
|
|
`truncate`::::
|
|
(Optional, string)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-truncate]
|
|
|
|
`with_special_tokens`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-bert-ja-with-special-tokens]
|
|
========
|
|
=======
|
|
`vocabulary`::::
|
|
(Optional, object)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-vocabulary]
|
|
+
|
|
.Properties of vocabulary
|
|
[%collapsible%open]
|
|
=======
|
|
`index`::::
|
|
(Required, string)
|
|
The index where the vocabulary is stored.
|
|
=======
|
|
======
|
|
|
|
`regression`::::
|
|
(object)
|
|
Regression configuration for inference.
|
|
+
|
|
.Properties of regression inference
|
|
[%collapsible%open]
|
|
======
|
|
`num_top_feature_importance_values`:::
|
|
(integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-regression-num-top-feature-importance-values]
|
|
|
|
`results_field`:::
|
|
(string)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-results-field]
|
|
======
|
|
`text_classification`::::
|
|
(Optional, object)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-text-classification]
|
|
+
|
|
.Properties of text_classification inference
|
|
[%collapsible%open]
|
|
======
|
|
`classification_labels`::::
|
|
(Optional, string)
|
|
An array of classification labels.
|
|
|
|
`num_top_classes`::::
|
|
(Optional, integer)
|
|
Specifies the number of top class predictions to return. Defaults to all classes (-1).
|
|
|
|
`tokenization`::::
|
|
(Optional, object)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization]
|
|
+
|
|
.Properties of tokenization
|
|
[%collapsible%open]
|
|
=======
|
|
`bert`::::
|
|
(Optional, object)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-bert]
|
|
+
|
|
.Properties of bert
|
|
[%collapsible%open]
|
|
========
|
|
`do_lower_case`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-do-lower-case]
|
|
|
|
`max_sequence_length`::::
|
|
(Optional, integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-max-sequence-length]
|
|
|
|
`span`::::
|
|
(Optional, integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-span]
|
|
|
|
`truncate`::::
|
|
(Optional, string)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-truncate]
|
|
|
|
`with_special_tokens`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-bert-with-special-tokens]
|
|
========
|
|
`roberta`::::
|
|
(Optional, object)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-roberta]
|
|
+
|
|
.Properties of roberta
|
|
[%collapsible%open]
|
|
========
|
|
`add_prefix_space`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-roberta-add-prefix-space]
|
|
|
|
`max_sequence_length`::::
|
|
(Optional, integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-max-sequence-length]
|
|
|
|
`span`::::
|
|
(Optional, integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-span]
|
|
|
|
`truncate`::::
|
|
(Optional, string)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-truncate]
|
|
|
|
`with_special_tokens`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-roberta-with-special-tokens]
|
|
========
|
|
`mpnet`::::
|
|
(Optional, object)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-mpnet]
|
|
+
|
|
.Properties of mpnet
|
|
[%collapsible%open]
|
|
========
|
|
`do_lower_case`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-do-lower-case]
|
|
|
|
`max_sequence_length`::::
|
|
(Optional, integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-max-sequence-length]
|
|
|
|
`span`::::
|
|
(Optional, integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-span]
|
|
|
|
`truncate`::::
|
|
(Optional, string)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-truncate]
|
|
|
|
`with_special_tokens`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-mpnet-with-special-tokens]
|
|
========
|
|
`xlm_roberta`::::
|
|
(Optional, object)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-xlm-roberta]
|
|
+
|
|
.Properties of xlm_roberta
|
|
[%collapsible%open]
|
|
========
|
|
`max_sequence_length`::::
|
|
(Optional, integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-max-sequence-length]
|
|
|
|
`span`::::
|
|
(Optional, integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-span]
|
|
|
|
`truncate`::::
|
|
(Optional, string)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-truncate]
|
|
|
|
`with_special_tokens`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-roberta-with-special-tokens]
|
|
========
|
|
`bert_ja`::::
|
|
(Optional, object)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-bert-ja]
|
|
+
|
|
.Properties of bert_ja
|
|
[%collapsible%open]
|
|
========
|
|
`do_lower_case`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-do-lower-case]
|
|
|
|
`max_sequence_length`::::
|
|
(Optional, integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-max-sequence-length]
|
|
|
|
`span`::::
|
|
(Optional, integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-span]
|
|
|
|
`truncate`::::
|
|
(Optional, string)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-truncate]
|
|
|
|
`with_special_tokens`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-bert-ja-with-special-tokens]
|
|
========
|
|
=======
|
|
|
|
`vocabulary`::::
|
|
(Optional, object)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-vocabulary]
|
|
+
|
|
.Properties of vocabulary
|
|
[%collapsible%open]
|
|
=======
|
|
`index`::::
|
|
(Required, string)
|
|
The index where the vocabulary is stored.
|
|
=======
|
|
======
|
|
`text_embedding`::::
|
|
(Object, optional)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-text-embedding]
|
|
+
|
|
.Properties of text_embedding inference
|
|
[%collapsible%open]
|
|
======
|
|
`embedding_size`::::
|
|
(Optional, integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-text-embedding-size]
|
|
|
|
`results_field`::::
|
|
(Optional, string)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-results-field]
|
|
|
|
`tokenization`::::
|
|
(Optional, object)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization]
|
|
+
|
|
.Properties of tokenization
|
|
[%collapsible%open]
|
|
=======
|
|
`bert`::::
|
|
(Optional, object)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-bert]
|
|
+
|
|
.Properties of bert
|
|
[%collapsible%open]
|
|
========
|
|
`do_lower_case`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-do-lower-case]
|
|
|
|
`max_sequence_length`::::
|
|
(Optional, integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-max-sequence-length]
|
|
|
|
`truncate`::::
|
|
(Optional, string)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-truncate]
|
|
|
|
`with_special_tokens`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-bert-with-special-tokens]
|
|
========
|
|
`roberta`::::
|
|
(Optional, object)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-roberta]
|
|
+
|
|
.Properties of roberta
|
|
[%collapsible%open]
|
|
========
|
|
`add_prefix_space`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-roberta-add-prefix-space]
|
|
|
|
`max_sequence_length`::::
|
|
(Optional, integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-max-sequence-length]
|
|
|
|
`truncate`::::
|
|
(Optional, string)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-truncate]
|
|
|
|
`with_special_tokens`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-roberta-with-special-tokens]
|
|
========
|
|
`mpnet`::::
|
|
(Optional, object)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-mpnet]
|
|
+
|
|
.Properties of mpnet
|
|
[%collapsible%open]
|
|
========
|
|
`do_lower_case`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-do-lower-case]
|
|
|
|
`max_sequence_length`::::
|
|
(Optional, integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-max-sequence-length]
|
|
|
|
`truncate`::::
|
|
(Optional, string)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-truncate]
|
|
|
|
`with_special_tokens`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-mpnet-with-special-tokens]
|
|
========
|
|
`xlm_roberta`::::
|
|
(Optional, object)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-xlm-roberta]
|
|
+
|
|
.Properties of xlm_roberta
|
|
[%collapsible%open]
|
|
========
|
|
`max_sequence_length`::::
|
|
(Optional, integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-max-sequence-length]
|
|
|
|
`truncate`::::
|
|
(Optional, string)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-truncate]
|
|
|
|
`with_special_tokens`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-roberta-with-special-tokens]
|
|
========
|
|
`bert_ja`::::
|
|
(Optional, object)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-bert-ja]
|
|
+
|
|
.Properties of bert_ja
|
|
[%collapsible%open]
|
|
========
|
|
`do_lower_case`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-do-lower-case]
|
|
|
|
`max_sequence_length`::::
|
|
(Optional, integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-max-sequence-length]
|
|
|
|
`truncate`::::
|
|
(Optional, string)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-truncate]
|
|
|
|
`with_special_tokens`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-bert-ja-with-special-tokens]
|
|
========
|
|
=======
|
|
`vocabulary`::::
|
|
(Optional, object)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-vocabulary]
|
|
+
|
|
.Properties of vocabulary
|
|
[%collapsible%open]
|
|
=======
|
|
`index`::::
|
|
(Required, string)
|
|
The index where the vocabulary is stored.
|
|
=======
|
|
======
|
|
`text_similarity`::::
|
|
(Object, optional)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-text-similarity]
|
|
+
|
|
.Properties of text_similarity inference
|
|
[%collapsible%open]
|
|
======
|
|
`span_score_combination_function`::::
|
|
(Optional, string)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-text-similarity-span-score-func]
|
|
|
|
`tokenization`::::
|
|
(Optional, object)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization]
|
|
+
|
|
.Properties of tokenization
|
|
[%collapsible%open]
|
|
=======
|
|
`bert`::::
|
|
(Optional, object)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-bert]
|
|
+
|
|
.Properties of bert
|
|
[%collapsible%open]
|
|
========
|
|
`do_lower_case`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-do-lower-case]
|
|
|
|
`max_sequence_length`::::
|
|
(Optional, integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-max-sequence-length]
|
|
|
|
`span`::::
|
|
(Optional, integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-span]
|
|
|
|
`truncate`::::
|
|
(Optional, string)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-truncate]
|
|
|
|
`with_special_tokens`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-bert-with-special-tokens]
|
|
========
|
|
`roberta`::::
|
|
(Optional, object)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-roberta]
|
|
+
|
|
.Properties of roberta
|
|
[%collapsible%open]
|
|
========
|
|
`add_prefix_space`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-roberta-add-prefix-space]
|
|
|
|
`max_sequence_length`::::
|
|
(Optional, integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-max-sequence-length]
|
|
|
|
`span`::::
|
|
(Optional, integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-span]
|
|
|
|
`truncate`::::
|
|
(Optional, string)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-truncate]
|
|
|
|
`with_special_tokens`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-roberta-with-special-tokens]
|
|
========
|
|
`mpnet`::::
|
|
(Optional, object)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-mpnet]
|
|
+
|
|
.Properties of mpnet
|
|
[%collapsible%open]
|
|
========
|
|
`do_lower_case`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-do-lower-case]
|
|
|
|
`max_sequence_length`::::
|
|
(Optional, integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-max-sequence-length]
|
|
|
|
`span`::::
|
|
(Optional, integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-span]
|
|
|
|
`truncate`::::
|
|
(Optional, string)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-truncate]
|
|
|
|
`with_special_tokens`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-mpnet-with-special-tokens]
|
|
========
|
|
`xlm_roberta`::::
|
|
(Optional, object)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-xlm-roberta]
|
|
+
|
|
.Properties of xlm_roberta
|
|
[%collapsible%open]
|
|
========
|
|
`max_sequence_length`::::
|
|
(Optional, integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-max-sequence-length]
|
|
|
|
`span`::::
|
|
(Optional, integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-span]
|
|
|
|
`truncate`::::
|
|
(Optional, string)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-truncate]
|
|
|
|
`with_special_tokens`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-roberta-with-special-tokens]
|
|
========
|
|
`bert_ja`::::
|
|
(Optional, object)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-bert-ja]
|
|
+
|
|
.Properties of bert_ja
|
|
[%collapsible%open]
|
|
========
|
|
`do_lower_case`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-do-lower-case]
|
|
|
|
`max_sequence_length`::::
|
|
(Optional, integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-max-sequence-length]
|
|
|
|
`span`::::
|
|
(Optional, integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-span]
|
|
|
|
`truncate`::::
|
|
(Optional, string)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-truncate]
|
|
|
|
`with_special_tokens`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-bert-ja-with-special-tokens]
|
|
========
|
|
=======
|
|
`vocabulary`::::
|
|
(Optional, object)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-vocabulary]
|
|
+
|
|
.Properties of vocabulary
|
|
[%collapsible%open]
|
|
=======
|
|
`index`::::
|
|
(Required, string)
|
|
The index where the vocabulary is stored.
|
|
=======
|
|
======
|
|
`zero_shot_classification`::::
|
|
(Object, optional)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-zero-shot-classification]
|
|
+
|
|
.Properties of zero_shot_classification inference
|
|
[%collapsible%open]
|
|
======
|
|
`classification_labels`::::
|
|
(Required, array)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-zero-shot-classification-classification-labels]
|
|
|
|
`hypothesis_template`::::
|
|
(Optional, string)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-zero-shot-classification-hypothesis-template]
|
|
|
|
`labels`::::
|
|
(Optional, array)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-zero-shot-classification-labels]
|
|
|
|
`multi_label`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-zero-shot-classification-multi-label]
|
|
|
|
`tokenization`::::
|
|
(Optional, object)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization]
|
|
+
|
|
.Properties of tokenization
|
|
[%collapsible%open]
|
|
=======
|
|
`bert`::::
|
|
(Optional, object)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-bert]
|
|
+
|
|
.Properties of bert
|
|
[%collapsible%open]
|
|
========
|
|
`do_lower_case`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-do-lower-case]
|
|
|
|
`max_sequence_length`::::
|
|
(Optional, integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-max-sequence-length]
|
|
|
|
`truncate`::::
|
|
(Optional, string)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-truncate]
|
|
|
|
`with_special_tokens`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-bert-with-special-tokens]
|
|
========
|
|
`roberta`::::
|
|
(Optional, object)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-roberta]
|
|
+
|
|
.Properties of roberta
|
|
[%collapsible%open]
|
|
========
|
|
`add_prefix_space`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-roberta-add-prefix-space]
|
|
|
|
`max_sequence_length`::::
|
|
(Optional, integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-max-sequence-length]
|
|
|
|
`truncate`::::
|
|
(Optional, string)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-truncate]
|
|
|
|
`with_special_tokens`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-roberta-with-special-tokens]
|
|
========
|
|
`mpnet`::::
|
|
(Optional, object)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-mpnet]
|
|
+
|
|
.Properties of mpnet
|
|
[%collapsible%open]
|
|
========
|
|
`do_lower_case`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-do-lower-case]
|
|
|
|
`max_sequence_length`::::
|
|
(Optional, integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-max-sequence-length]
|
|
|
|
`truncate`::::
|
|
(Optional, string)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-truncate]
|
|
|
|
`with_special_tokens`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-mpnet-with-special-tokens]
|
|
========
|
|
`xlm_roberta`::::
|
|
(Optional, object)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-xlm-roberta]
|
|
+
|
|
.Properties of xlm_roberta
|
|
[%collapsible%open]
|
|
========
|
|
`max_sequence_length`::::
|
|
(Optional, integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-max-sequence-length]
|
|
|
|
`truncate`::::
|
|
(Optional, string)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-truncate]
|
|
|
|
`with_special_tokens`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-roberta-with-special-tokens]
|
|
========
|
|
`bert_ja`::::
|
|
(Optional, object)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-bert-ja]
|
|
+
|
|
.Properties of bert_ja
|
|
[%collapsible%open]
|
|
========
|
|
`do_lower_case`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-do-lower-case]
|
|
|
|
`max_sequence_length`::::
|
|
(Optional, integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-max-sequence-length]
|
|
|
|
`truncate`::::
|
|
(Optional, string)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-truncate]
|
|
|
|
`with_special_tokens`::::
|
|
(Optional, boolean)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-tokenization-bert-ja-with-special-tokens]
|
|
========
|
|
=======
|
|
`vocabulary`::::
|
|
(Optional, object)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-config-nlp-vocabulary]
|
|
+
|
|
.Properties of vocabulary
|
|
[%collapsible%open]
|
|
=======
|
|
`index`::::
|
|
(Required, string)
|
|
The index where the vocabulary is stored.
|
|
=======
|
|
======
|
|
=====
|
|
|
|
`input`:::
|
|
(object)
|
|
The input field names for the model definition.
|
|
+
|
|
.Properties of `input`
|
|
[%collapsible%open]
|
|
=====
|
|
`field_names`::::
|
|
(string)
|
|
An array of input field names for the model.
|
|
=====
|
|
|
|
`fully_defined`::
|
|
(boolean)
|
|
True if the full model definition is present.
|
|
This field is only present if `include=definition_status` was specified in the request.
|
|
|
|
// Begin location
|
|
`location`::
|
|
(Optional, object)
|
|
The model definition location. Must be provided if the `definition` or `compressed_definition` are not
|
|
provided.
|
|
+
|
|
.Properties of `location`
|
|
[%collapsible%open]
|
|
=====
|
|
`index`:::
|
|
(Required, object)
|
|
Indicates that the model definition is stored in an index. It is required to be empty as
|
|
the index for storing model definitions is configured automatically.
|
|
=====
|
|
// End location
|
|
|
|
`license_level`::
|
|
(string)
|
|
The license level of the trained model.
|
|
|
|
`metadata`::
|
|
(object)
|
|
An object containing metadata about the trained model. For example, models
|
|
created by {dfanalytics} contain `analysis_config` and `input` objects.
|
|
+
|
|
.Properties of metadata
|
|
[%collapsible%open]
|
|
=====
|
|
`feature_importance_baseline`:::
|
|
(object)
|
|
An object that contains the baseline for {feat-imp} values. For {reganalysis},
|
|
it is a single value. For {classanalysis}, there is a value for each class.
|
|
|
|
`hyperparameters`:::
|
|
(array)
|
|
List of the available hyperparameters optimized during the
|
|
`fine_parameter_tuning` phase as well as specified by the user.
|
|
+
|
|
.Properties of hyperparameters
|
|
[%collapsible%open]
|
|
======
|
|
`absolute_importance`::::
|
|
(double)
|
|
A positive number showing how much the parameter influences the variation of the
|
|
{ml-docs}/dfa-regression-lossfunction.html[loss function]. For
|
|
hyperparameters with values that are not specified by the user but tuned during
|
|
hyperparameter optimization.
|
|
|
|
`max_trees`::::
|
|
(integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=max-trees-trained-models]
|
|
|
|
`name`::::
|
|
(string)
|
|
Name of the hyperparameter.
|
|
|
|
`relative_importance`::::
|
|
(double)
|
|
A number between 0 and 1 showing the proportion of influence on the variation of
|
|
the loss function among all tuned hyperparameters. For hyperparameters with
|
|
values that are not specified by the user but tuned during hyperparameter
|
|
optimization.
|
|
|
|
`supplied`::::
|
|
(Boolean)
|
|
Indicates if the hyperparameter is specified by the user (`true`) or optimized
|
|
(`false`).
|
|
|
|
`value`::::
|
|
(double)
|
|
The value of the hyperparameter, either optimized or specified by the user.
|
|
|
|
======
|
|
|
|
`total_feature_importance`:::
|
|
(array)
|
|
An array of the total {feat-imp} for each feature used from
|
|
the training data set. This array of objects is returned if {dfanalytics} trained
|
|
the model and the request includes `total_feature_importance` in the `include`
|
|
request parameter.
|
|
+
|
|
.Properties of total {feat-imp}
|
|
[%collapsible%open]
|
|
======
|
|
|
|
`feature_name`:::
|
|
(string)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-metadata-feature-importance-feature-name]
|
|
|
|
`importance`:::
|
|
(object)
|
|
A collection of {feat-imp} statistics related to the training data set for this particular feature.
|
|
+
|
|
.Properties of {feat-imp}
|
|
[%collapsible%open]
|
|
=======
|
|
`mean_magnitude`:::
|
|
(double)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-metadata-feature-importance-magnitude]
|
|
|
|
`max`:::
|
|
(integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-metadata-feature-importance-max]
|
|
|
|
`min`:::
|
|
(integer)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-metadata-feature-importance-min]
|
|
|
|
=======
|
|
|
|
`classes`:::
|
|
(array)
|
|
If the trained model is a classification model, {feat-imp} statistics are gathered
|
|
per target class value.
|
|
+
|
|
.Properties of class {feat-imp}
|
|
[%collapsible%open]
|
|
|
|
=======
|
|
|
|
`class_name`:::
|
|
(string)
|
|
The target class value. Could be a string, boolean, or number.
|
|
|
|
`importance`:::
|
|
(object)
|
|
A collection of {feat-imp} statistics related to the training data set for this particular feature.
|
|
+
|
|
.Properties of {feat-imp}
|
|
[%collapsible%open]
|
|
========
|
|
`mean_magnitude`:::
|
|
(double)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-metadata-feature-importance-magnitude]
|
|
|
|
`max`:::
|
|
(int)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-metadata-feature-importance-max]
|
|
|
|
`min`:::
|
|
(int)
|
|
include::{es-ref-dir}/ml/ml-shared.asciidoc[tag=inference-metadata-feature-importance-min]
|
|
|
|
========
|
|
|
|
=======
|
|
|
|
======
|
|
=====
|
|
|
|
`model_id`::
|
|
(string)
|
|
Identifier for the trained model.
|
|
|
|
`model_type`::
|
|
(Optional, string)
|
|
The created model type. By default the model type is `tree_ensemble`.
|
|
Appropriate types are:
|
|
+
|
|
--
|
|
* `tree_ensemble`: The model definition is an ensemble model of decision trees.
|
|
* `lang_ident`: A special type reserved for language identification models.
|
|
* `pytorch`: The stored definition is a PyTorch (specifically a TorchScript) model. Currently only
|
|
NLP models are supported.
|
|
--
|
|
|
|
`tags`::
|
|
(string)
|
|
A comma delimited string of tags. A trained model can have many tags, or none.
|
|
|
|
`version`::
|
|
(string)
|
|
The {ml} configuration version number at which the trained model was created.
|
|
|
|
NOTE: From {es} 8.10.0, a new version number is used to
|
|
track the configuration and state changes in the {ml} plugin. This new
|
|
version number is decoupled from the product version and will increment
|
|
independently. The `version` value represents the new version number.
|
|
|
|
====
|
|
|
|
|
|
[[ml-get-trained-models-response-codes]]
|
|
== {api-response-codes-title}
|
|
|
|
`400`::
|
|
If `include_model_definition` is `true`, this code indicates that more than
|
|
one models match the ID pattern.
|
|
|
|
`404` (Missing resources)::
|
|
If `allow_no_match` is `false`, this code indicates that there are no
|
|
resources that match the request or only partial matches for the request.
|
|
|
|
|
|
[[ml-get-trained-models-example]]
|
|
== {api-examples-title}
|
|
|
|
The following example gets configuration information for all the trained models:
|
|
|
|
[source,console]
|
|
--------------------------------------------------
|
|
GET _ml/trained_models/
|
|
--------------------------------------------------
|
|
// TEST[skip:TBD]
|