ml-commons
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ml-commons provides a set of common machine learning algorithms, e.g. k-means, or linear regression, to help developers build ML related features within OpenSearch.
### Description [Describe what this change achieves] ### Related Issues Resolves #[Issue number to be closed when this PR is merged] ### Check List - [ ] New functionality includes...
Backport 31f04221ea3a064df136337c56d5a0dfbc0fcd23 from #3658
Backport 31f04221ea3a064df136337c56d5a0dfbc0fcd23 from #3658
### Description We got a failure for the test case `testPredictWithReadOnlyMLAccess` which is blocking 3.0-alpha release and caused by a recent pr https://github.com/opensearch-project/ml-commons/pull/3597. ### Related Issues Resolves #[Issue number to...
**What is the bug?** Multiple failing tests for the build. **How can one reproduce the bug?** `./gradlew clean build` tests will fail: ``` Task :opensearch-ml-algorithms:test QuestionAnsweringModelTest > initModel_predict_ONNX_QuestionAnswering FAILED org.opensearch.ml.common.exception.MLException...
**What is the bug?** When using OpenSearch oeprator, the following bug appears possibly when the cluster is not yet fully initialized. It is showing "green" status when the model is...
**Is your feature request related to a problem?** Currently we have three types of agent ([doc](https://opensearch.org/docs/latest/ml-commons-plugin/agents-tools/index/)): - flow agent - Conversational flow agent - Conversational agent These existing agent types...
What is the bug? - When attempting to compile the OpenSearch ml-commons Plugin using gradlew assemble, the build process fails with the following error: - Unable to load Maven meta-data...
**Is your feature request related to a problem?** ML-Commons provides essential AI/ML capabilities to OpenSearch and is increasingly used for embedding generation and semantic search. The current /stats/ API, which...
The ML inference processor looks not correct in https://github.com/opensearch-project/ml-commons/blob/main/docs/tutorials/ml_inference/rerank/ml_Inference_with_Cohere_Rerank_model.md#1-create-reranking-pipeline ``` "input_map": { "documents": "fact_description", "query": "_request.ext.query_context.query_text", "top_n": "_request.ext.query_context.top_n" }, "output_map": { "relevance_score": "results[*].relevance_score", "description": "results[*].document.text" }, ``` The input/output map...