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MACHINE LEARNING SYSTEM FLOW PROCESSING

  • US 20160358103A1
  • Filed: 06/05/2015
  • Published: 12/08/2016
  • Est. Priority Date: 06/05/2015
  • Status: Active Grant
First Claim
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1. A computer-implemented method, comprising:

  • initializing a workflow run in a machine learning system by identifying a text string defining a workflow;

    traversing syntax of the text string to determine an interdependency graph of one or more data processing operator instances of the workflow;

    generating an execution schedule of the workflow run based on the interdependency graph; and

    managing execution of the workflow run in multiple computing environments according to the execution schedule; and

    indexing an output of a data processing operator instance from among the data processing operator instances in a memoization repository, wherein the output is indexed as a result of processing an identifiable input through a data processing operator type associated with the data processing operator instance.

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