Invention Grant
US08612368B2 Systems and methods for processing machine learning algorithms in a MapReduce environment
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在MapReduce环境中处理机器学习算法的系统和方法
- Patent Title: Systems and methods for processing machine learning algorithms in a MapReduce environment
- Patent Title (中): 在MapReduce环境中处理机器学习算法的系统和方法
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Application No.: US13038086Application Date: 2011-03-01
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Publication No.: US08612368B2Publication Date: 2013-12-17
- Inventor: Douglas Ronald Burdick , Amol Ghoting , Rajasekar Krishnamurthy , Edwin Peter Dawson Pednault , Berthold Reinwald , Vikas Sindhwani , Shirish Tatikonda , Yuanyuan Tian , Shivakumar Vaithyanathan
- Applicant: Douglas Ronald Burdick , Amol Ghoting , Rajasekar Krishnamurthy , Edwin Peter Dawson Pednault , Berthold Reinwald , Vikas Sindhwani , Shirish Tatikonda , Yuanyuan Tian , Shivakumar Vaithyanathan
- Applicant Address: US NY Armonk
- Assignee: International Business Machines Corporation
- Current Assignee: International Business Machines Corporation
- Current Assignee Address: US NY Armonk
- Agency: Cantor Colburn LLP
- Agent Yusuke Kanehira
- Main IPC: G06F15/18
- IPC: G06F15/18

Abstract:
Systems and methods for processing Machine Learning (ML) algorithms in a MapReduce environment are described. In one embodiment of a method, the method includes receiving a ML algorithm to be executed in the MapReduce environment. The method further includes parsing the ML algorithm into a plurality of statement blocks in a sequence, wherein each statement block comprises a plurality of basic operations (hops). The method also includes automatically determining an execution plan for each statement block, wherein at least one of the execution plans comprises one or more low-level operations (lops). The method further includes implementing the execution plans in the sequence of the plurality of the statement blocks.
Public/Granted literature
- US20120226639A1 Systems and Methods for Processing Machine Learning Algorithms in a MapReduce Environment Public/Granted day:2012-09-06
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