An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
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test for creating experiments/pipelines before creating models (#7090)
22163cdView on GitHubfix: add PipelineFailedTerminating in PipelineStatus enum in scheduler protos (#7080)
7b77f8bView on GitHubfeat(e2e): test for changing models and model/server auto-scaling (#7074)
37514fbView on GitHubfeat(e2e-tests): generate file with all test suite steps (#7065)
97eb559View on GitHubfix: revert to previous directory where generated outputted CRDs are saved (#7060)
d2c729fView on GitHubdocs(multiple pages): added page descriptions so that they are discoverable by LLMs (#7025)
cf26eb7View on GitHubfix(mlserver): turn off logging request logs by default (#7042)
96ce155View on GitHub