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This adds model_alias support for native pytorch models. Model aliases can be used in `_infer` or within the inference processor. This way the alias can be atomically changed without down time to another deployed model. Restrictions: - Model alias changes need to be done between two models of the same kind (e.g. pytorch -> pytorch) - Model alias change is not allowed between a model that is deployed to a model that is not - Model alias change is not allowed between a model that deployed AND allocated to a model that is deployed but NOT allocated (not assigned to any nodes). - A deployment cannot be stopped (without supplying the `force` parameter) when the model has a model alias that is used by a pipeline. closes: https://github.com/elastic/elasticsearch/issues/90960 |
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anomaly-detection | ||
common/apis | ||
df-analytics/apis | ||
images | ||
trained-models/apis | ||
ml-shared.asciidoc |