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TODO #1

@spirali

Description

@spirali
  • Finish collection API (.compute, .remove, ..., .get)
  • collection.clean()
  • command line API
  • Obj API (or just use dict?)
  • Generating cartesian product for Obj (or dict?) Builder(graph=[..], model=[..]) = [Obj<graph=.. model=..>, .... ]
  • Simple LocalExecutor that respects dependencies and shows some progress (tqdm)
  • Queries API for getting results from DB
  • Export a collection into Pandas frame
  • Dask Executor
  • "repeat" API
  • Iterative collection API
  • Saving information about computation (computation duration, etc)
  • Prediction of a computation
  • fail-safe mode for executor
  • Possibility to return JSON like object with refs from dep_fn
  • Runtime context manager

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