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[8.16][DOCS] Adds machine learning-related release notes from ML-CPP #116567

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Nov 11, 2024
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[8.16][DOCS] Adds machine learning-related release notes from ML-CPP #116567

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4 changes: 4 additions & 0 deletions docs/reference/release-notes/8.16.0.asciidoc
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Expand Up @@ -140,10 +140,12 @@ Logs::
Machine Learning::
* Avoid `ModelAssignment` deadlock {es-pull}109684[#109684]
* Avoid `catch (Throwable t)` in `AmazonBedrockStreamingChatProcessor` {es-pull}115715[#115715]
* Allow for `pytorch_inference` results to include zero-dimensional tensors
* Empty percentile results no longer throw no_such_element_exception in Anomaly Detection jobs {es-pull}116015[#116015] (issue: {es-issue}116013[#116013])
* Fix NPE in Get Deployment Stats {es-pull}115404[#115404]
* Fix bug in ML serverless autoscaling which prevented trained model updates from triggering a scale up {es-pull}110734[#110734]
* Fix stream support for `TaskType.ANY` {es-pull}115656[#115656]
* Fix parameter initialization for large forecasting models {ml-pull}2759[#2759]
* Forward bedrock connection errors to user {es-pull}115868[#115868]
* Ignore unrecognized openai sse fields {es-pull}114715[#114715]
* Prevent NPE if model assignment is removed while waiting to start {es-pull}115430[#115430]
Expand Down Expand Up @@ -355,6 +357,7 @@ Machine Learning::
* Adding chunking settings to `GoogleVertexAiService,` `AzureAiStudioService,` and `AlibabaCloudSearchService` {es-pull}113981[#113981]
* Adding chunking settings to `MistralService,` `GoogleAiStudioService,` and `HuggingFaceService` {es-pull}113623[#113623]
* Adds a new Inference API for streaming responses back to the user. {es-pull}113158[#113158]
* Allow users to force a detector to shift time series state by a specific amount {ml-pull}2695[#2695]
* Create `StreamingHttpResultPublisher` {es-pull}112026[#112026]
* Create an ml node inference endpoint referencing an existing model {es-pull}114750[#114750]
* Default inference endpoint for ELSER {es-pull}113873[#113873]
Expand All @@ -373,6 +376,7 @@ Machine Learning::
* Stream OpenAI Completion {es-pull}112677[#112677]
* Support sparse embedding models in the elasticsearch inference service {es-pull}112270[#112270]
* Switch default chunking strategy to sentence {es-pull}114453[#114453]
* Update the Pytorch library to version 2.3.1 {ml-pull}2688[#2688]
* Upgrade to AWS SDK v2 {es-pull}114309[#114309] (issue: {es-issue}110590[#110590])
* Use the same chunking configurations for models in the Elasticsearch service {es-pull}111336[#111336]
* Validate streaming HTTP Response {es-pull}112481[#112481]
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