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Method, computer-readable medium, and computer system for computing task results

A computing task, computer technology, applied in the direction of computing, reasoning method, machine execution device, etc., can solve the problem that regression may be unrealistic

Active Publication Date: 2017-06-13
INT BUSINESS MASCH CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When k is large, it may not be realistic to perform all possible regressions since computation time grows exponentially with k

Method used

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  • Method, computer-readable medium, and computer system for computing task results
  • Method, computer-readable medium, and computer system for computing task results
  • Method, computer-readable medium, and computer system for computing task results

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Embodiment Construction

[0017] The description of various embodiments of the present invention has been presented for illustrative purposes, but is not intended to be exhaustive or limited to the disclosed embodiments. Many modifications and changes that do not depart from the scope of the described embodiments will be apparent to those of ordinary skill in the art. The terminology used herein is selected to best explain the principles of the embodiments, practical applications, and technical improvements found on the market, or to enable other ordinary skilled persons to understand the embodiments disclosed herein.

[0018] The embodiment uses the mapping-simplification framework to calculate k predictive factors by using the scanning operation 2 k Possible regression model. The embodiment uses multiple nodes (mappers) to calculate the local regression model (for example, the local best regression model) in parallel, and then uses one node (simplifier) ​​to merge the results of multiple nodes to select...

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Abstract

Techniques for computing task results are provided. Create a processing dataset of records, where each record includes data specific to a subtask in a set of actual subtasks and contains references to shared data for the set of actual subtasks, and where the number of records is equal to the number of records in the set of actual subtasks The actual number of subtasks in the task. One record of the processing dataset is received by each mapper in a set of mappers. Executes the assigned subtasks to produce output using the received records, and, through a single reducer, reduces the output of each mapper in the set of mappers to determine the task result.

Description

Technical field [0001] The embodiment of the present invention relates to the calculation of possible regression models using the sweep operation in the Map-Reduce framework. Background technique [0002] Multiple linear regression models are usually used to analyze the relationship between a target variable (Y) and a list of predictor variables (X). Many techniques such as forward selection, elimination of backwardness, and gradual advancement are proposed to select some predictors that can affect the target more than other predictors in a large concentration of k predictors. [0003] The predictor can be described as a field that predicts or influences the target in the predictive regression model. The target can be described as a field predicted or influenced by one or more predictors in the regression model. [0004] One of the ways to find the best regression is to perform all 2 based on selected criteria, such as the adjusted R square, etc. k Regression model. This technique...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F9/38
CPCG06F9/5066G06F9/4843G06N5/04
Inventor 石静云梁栋朱雅珍
Owner INT BUSINESS MASCH CORP