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7c21ce3f1b
* Added platform architecture field to TrainedModelMetadata and users of TrainedModelMetadata * Added TransportVersions guarding for TrainedModelMetadata * Prevent platform-specific models from being deployed on the wrong architecture * Added logic to only verify node architectures for models which are platform specific * Handle null platform architecture * Added logging for the detection of heterogeneous platform architectures among ML nodes and refactoring to support this * Added platform architecture field to TrainedModelConfig * Stop platform-speficic model when rebalance occurs and the cluster has a heterogeneous architecture among ML nodes * Added logic to TransportPutTrainedModelAction to return a warning response header when the model is paltform-specific and cannot be depoloyed on the cluster at that time due to heterogenous architectures among ML nodes * Added MlPlatformArchitecturesUtilTests * Updated Create Trained Models API docs to describe the new platform_architecture optional field. * Updated/incremented InferenceIndexConstants * Added special override to make models with linux-x86_64 in the model ID to be platform specific |
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| anomaly-detection | ||
| common/apis | ||
| df-analytics/apis | ||
| images | ||
| trained-models/apis | ||
| ml-shared.asciidoc | ||