Added platform_architecture field to MlPutTrainedModelRequest to add … (

#2302)
elastic · Oct 3, 2023 · eee728f · eee728f
1 parent ed341e8
commit eee728f
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diff --git a/output/schema/schema.json b/output/schema/schema.json
diff --git a/output/typescript/types.ts b/output/typescript/types.ts
diff --git a/specification/ml/put_trained_model/MlPutTrainedModelRequest.ts b/specification/ml/put_trained_model/MlPutTrainedModelRequest.ts
@@ -88,6 +88,16 @@ export interface Request extends RequestBase {
      * or the model definition is not supplied.
      */
     model_size_bytes?: long
+    /**
+     * The platform architecture (if applicable) of the trained mode. If the model
+     * only works on one platform, because it is heavily optimized for a particular
+     * processor architecture and OS combination, then this field specifies which.
+     * The format of the string must match the platform identifiers used by Elasticsearch,
+     * so one of, `linux-x86_64`, `linux-aarch64`, `darwin-x86_64`, `darwin-aarch64`,
+     * or `windows-x86_64`. For portable models (those that work independent of processor
+     * architecture or OS features), leave this field unset.
+     */
+    platform_architecture?: string
     /**
      * An array of tags to organize the model.
      */