The concept of TestStand, a sequence. Sequences of groups. Sequences of Sequences.
Pre Sequence, Post Sequence, Pre Test, Post Test. Run as a process, iterates on product instance. Single Up, Multi Up. Is incredibly flexible.
The paradigm is for test. No reason to constrain it to test processes. The paradigm cannot be adapted for an process that runs sequences, and iterates.
Test Stand can be used as a vehicle to build and manage pipelines for Machine Learning Processing. For both training and inference.
For example - I want to do some ML training with hyperparameter tuning. Queue up the variants and run the sequences, compiling the results.
Better Yet, Andrew NG is pushing data centric AI. Use test stand to queue up data variants, train and eval a model. Auto generate the results.
The BIG Tech platforms all support data pipelines.
TestStand has it built in.
