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[codegen] Update to latest 8.9 API spec
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-17
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‎java-client/src/main/java/co/elastic/clients/elasticsearch/doc-files/api-spec.html

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@@ -43,7 +43,7 @@
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'_global.field_caps.Response': '_global/field_caps/FieldCapabilitiesResponse.ts#L24-L35',
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'_global.get.GetResult': '_global/get/types.ts#L25-L35',
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'_global.get.Request': '_global/get/GetRequest.ts#L31-L86',
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'_global.get.Response': '_global/get/GetResponse.ts#L22-L24',
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'_global.get.Response': '_global/get/GetResponse.ts#L23-L34',
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'_global.get_script.Request': '_global/get_script/GetScriptRequest.ts#L24-L37',
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'_global.get_script.Response': '_global/get_script/GetScriptResponse.ts#L23-L29',
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'_global.get_script_context.Context': '_global/get_script_context/types.ts#L22-L25',
@@ -1873,7 +1873,7 @@
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'ml.put_trained_model.Input': 'ml/put_trained_model/types.ts#L56-L58',
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'ml.put_trained_model.OneHotEncodingPreprocessor': 'ml/put_trained_model/types.ts#L44-L47',
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'ml.put_trained_model.Preprocessor': 'ml/put_trained_model/types.ts#L31-L36',
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'ml.put_trained_model.Request': 'ml/put_trained_model/MlPutTrainedModelRequest.ts#L28-L95',
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'ml.put_trained_model.Request': 'ml/put_trained_model/MlPutTrainedModelRequest.ts#L28-L96',
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'ml.put_trained_model.Response': 'ml/put_trained_model/MlPutTrainedModelResponse.ts#L22-L24',
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'ml.put_trained_model.TargetMeanEncodingPreprocessor': 'ml/put_trained_model/types.ts#L49-L54',
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'ml.put_trained_model.TrainedModel': 'ml/put_trained_model/types.ts#L60-L72',
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if (hash.length > 1) {
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hash = hash.substring(1);
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}
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window.location = "https://github.com/elastic/elasticsearch-specification/tree/902222a6495852a7443d24b8a0bf1223b96414e6/specification/" + (paths[hash] || "");
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window.location = "https://github.com/elastic/elasticsearch-specification/tree/26d0e2015b6bb2b1e0c549a4f1abeca6da16e89c/specification/" + (paths[hash] || "");
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</script>
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</head>
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<body>
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Please see the <a href="https://github.com/elastic/elasticsearch-specification/tree/902222a6495852a7443d24b8a0bf1223b96414e6/specification/">Elasticsearch API specification</a>.
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Please see the <a href="https://github.com/elastic/elasticsearch-specification/tree/26d0e2015b6bb2b1e0c549a4f1abeca6da16e89c/specification/">Elasticsearch API specification</a>.
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</body>
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</html>

‎java-client/src/main/java/co/elastic/clients/elasticsearch/ml/PutTrainedModelRequest.java

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@@ -72,6 +72,7 @@ public class PutTrainedModelRequest extends RequestBase implements JsonpSerializ
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@Nullable
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private final String description;
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@Nullable
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private final InferenceConfigCreate inferenceConfig;
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@Nullable
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this.deferDefinitionDecompression = builder.deferDefinitionDecompression;
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this.definition = builder.definition;
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this.description = builder.description;
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this.inferenceConfig = ApiTypeHelper.requireNonNull(builder.inferenceConfig, this, "inferenceConfig");
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this.inferenceConfig = builder.inferenceConfig;
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this.input = builder.input;
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this.metadata = builder.metadata;
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this.modelId = ApiTypeHelper.requireNonNull(builder.modelId, this, "modelId");
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}
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/**
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* Required - The default configuration for inference. This can be either a
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* regression or classification configuration. It must match the underlying
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* definition.trained_model's target_type.
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* The default configuration for inference. This can be either a regression or
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* classification configuration. It must match the underlying
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* definition.trained_model's target_type. For pre-packaged models such as ELSER
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* the config is not required.
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* <p>
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* API name: {@code inference_config}
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*/
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@Nullable
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public final InferenceConfigCreate inferenceConfig() {
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return this.inferenceConfig;
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}
@@ -254,9 +257,11 @@ protected void serializeInternal(JsonGenerator generator, JsonpMapper mapper) {
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generator.write(this.description);
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}
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generator.writeKey("inference_config");
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this.inferenceConfig.serialize(generator, mapper);
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if (this.inferenceConfig != null) {
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generator.writeKey("inference_config");
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this.inferenceConfig.serialize(generator, mapper);
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}
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if (this.input != null) {
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generator.writeKey("input");
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this.input.serialize(generator, mapper);
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@Nullable
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private String description;
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@Nullable
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private InferenceConfigCreate inferenceConfig;
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@Nullable
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}
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/**
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* Required - The default configuration for inference. This can be either a
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* regression or classification configuration. It must match the underlying
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* definition.trained_model's target_type.
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* The default configuration for inference. This can be either a regression or
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* classification configuration. It must match the underlying
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* definition.trained_model's target_type. For pre-packaged models such as ELSER
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* the config is not required.
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* <p>
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* API name: {@code inference_config}
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*/
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public final Builder inferenceConfig(InferenceConfigCreate value) {
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public final Builder inferenceConfig(@Nullable InferenceConfigCreate value) {
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this.inferenceConfig = value;
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return this;
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}
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/**
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* Required - The default configuration for inference. This can be either a
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* regression or classification configuration. It must match the underlying
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* definition.trained_model's target_type.
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* The default configuration for inference. This can be either a regression or
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* classification configuration. It must match the underlying
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* definition.trained_model's target_type. For pre-packaged models such as ELSER
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* the config is not required.
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* <p>
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* API name: {@code inference_config}
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*/

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