Support for various metadata store backends [need feedback and review] #45
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In current implementation, the ML metadata (MLMD) metadata store was tightly coupled with CMF. Our experiments and standalone proof-of-concept implementations have demonstrated that it is possible to use other platforms, such as MLflow to store pipeline metadata (though, not as efficiently as with MLMD store, but in certain cases when a team or organization has already setup the ML metadata management service, they can start tracking their pipeline metadata using that existing service).
The idea is relatively straightforward - take MLMD related collection of functions and wrap them into a class (MlmdStore). Then functions that are used by
Cmf
become public interface for MlmdStore, and respectively, become API that Cmf requires from arbitrary metadata backend in the future.This commit moves existing MLMD functionality into
cmflib.metadata.mlmd_store
module.