From cc0710233a01084570295d46ffe51547f0e4a477 Mon Sep 17 00:00:00 2001 From: Elastic Machine Date: Wed, 4 Oct 2023 06:03:01 +0000 Subject: [PATCH] Auto-generated API code --- docs/reference.asciidoc | 7 +++++++ src/api/api/ml.ts | 2 +- src/api/types.ts | 1 + src/api/typesWithBodyKey.ts | 1 + 4 files changed, 10 insertions(+), 1 deletion(-) diff --git a/docs/reference.asciidoc b/docs/reference.asciidoc index 56d17f6db..eee72b07c 100644 --- a/docs/reference.asciidoc +++ b/docs/reference.asciidoc @@ -6302,6 +6302,13 @@ ELSER the config is not required. ** *`model_size_bytes` (Optional, number)*: The estimated memory usage in bytes to keep the trained model in memory. This property is supported only if defer_definition_decompression is true or the model definition is not supplied. +** *`platform_architecture` (Optional, string)*: 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. ** *`tags` (Optional, string[])*: An array of tags to organize the model. ** *`defer_definition_decompression` (Optional, boolean)*: If set to `true` and a `compressed_definition` is provided, the request defers definition decompression and skips relevant validations. diff --git a/src/api/api/ml.ts b/src/api/api/ml.ts index 27ccefdb9..ffebde954 100644 --- a/src/api/api/ml.ts +++ b/src/api/api/ml.ts @@ -1821,7 +1821,7 @@ export default class Ml { async putTrainedModel (this: That, params: T.MlPutTrainedModelRequest | TB.MlPutTrainedModelRequest, options?: TransportRequestOptions): Promise async putTrainedModel (this: That, params: T.MlPutTrainedModelRequest | TB.MlPutTrainedModelRequest, options?: TransportRequestOptions): Promise { const acceptedPath: string[] = ['model_id'] - const acceptedBody: string[] = ['compressed_definition', 'definition', 'description', 'inference_config', 'input', 'metadata', 'model_type', 'model_size_bytes', 'tags'] + const acceptedBody: string[] = ['compressed_definition', 'definition', 'description', 'inference_config', 'input', 'metadata', 'model_type', 'model_size_bytes', 'platform_architecture', 'tags'] const querystring: Record = {} // @ts-expect-error const userBody: any = params?.body diff --git a/src/api/types.ts b/src/api/types.ts index 7748aa7e7..c879844ca 100644 --- a/src/api/types.ts +++ b/src/api/types.ts @@ -13977,6 +13977,7 @@ export interface MlPutTrainedModelRequest extends RequestBase { metadata?: any model_type?: MlTrainedModelType model_size_bytes?: long + platform_architecture?: string tags?: string[] } diff --git a/src/api/typesWithBodyKey.ts b/src/api/typesWithBodyKey.ts index 8b077f0f6..619658ce9 100644 --- a/src/api/typesWithBodyKey.ts +++ b/src/api/typesWithBodyKey.ts @@ -14233,6 +14233,7 @@ export interface MlPutTrainedModelRequest extends RequestBase { metadata?: any model_type?: MlTrainedModelType model_size_bytes?: long + platform_architecture?: string tags?: string[] } }