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[8.12][DOCS] Adds relevant ML-CPP items to release notes.
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szabosteve committed Jan 15, 2024
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Expand Up @@ -113,13 +113,15 @@ License::

Machine Learning::
* Catch exceptions during `pytorch_inference` startup {es-pull}103873[#103873]
* Ensure the estimated latitude is within the allowed range {ml-pull}#2586[2586]
* Exclude quantiles when fetching model snapshots where possible {es-pull}103530[#103530]
* Fix `frequent_item_sets` aggregation on empty index {es-pull}103116[#103116] (issue: {es-issue}103067[#103067])
* If trained model download task is in progress, wait for it to finish before executing start trained model deployment {es-pull}102944[#102944]
* Persist data counts on job close before results index refresh {es-pull}101147[#101147]
* Preserve response headers in Datafeed preview {es-pull}103923[#103923]
* Prevent attempts to access non-existent node information during rebalancing {es-pull}103361[#103361]
* Prevent resource over-subscription in model allocation planner {es-pull}100392[#100392]
* Remove dependency on the IPEX library {ml-pull}#2605[2605] and {ml-pull}#2606[2606]
* Start a new trace context before loading a trained model {es-pull}103124[#103124]
* Wait for the model results on graceful shutdown {es-pull}103591[#103591] (issue: {es-issue}103414[#103414])

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* Include ML processor limits in `_ml/info` response {es-pull}101392[#101392]
* Read scores from downloaded vocabulary for XLM Roberta tokenizers {es-pull}101868[#101868]
* Support for GET all models and by task type in the `_inference` API {es-pull}102806[#102806]
* Upgrade Boost libraries to version 1.83 {ml-pull}2560[#2560]

Mapping::
* Improve analyzer reload log message {es-pull}102273[#102273]
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