Improve model portability
Allow easy identification of all of an ML studio models components and exporting of these to new workspaces. Currently copying has major limitations such as data set size, workspace location etc. Datasets get duplicated when used in multiple models during the copy etc. It should be possible to select and copy multiple experiments or projects and have the copy process bring along everything that is needed including training experiments, predictive experiments, transformations and web service parameters etc. without creating duplication.
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