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Project Summary

R and Hadoop Integrated Programming Environment. In Divide and Recombine (D&R), big data are divided into subsets in one or more ways, forming divisions. Analytic methods, numeric-categorical methods of machine learning and statistics plus visualization methods, are applied to each of the subsets of a division. Then the subset outputs for each method are recombined. D&R methods of division and recombination seek to make the statistical accuracy of recombinations as large as possible, ideally close to that of the hypothetical direct, all-data application of the methods. The D&R computational environment starts with RHIPE, a merger of R and Hadoop. RHIPE allows an analyst to carry out D&R analysis of big data wholly from within R, and use any of the thousands of methods available in R.

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In a Nutshell, saptarshiguha's RHIPE...

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Languages

Languages?height=75&width=75
Java
41%
C++
28%
R
24%
3 Other
7%

30 Day Summary

Feb 12 2019 — Mar 14 2019

12 Month Summary

Mar 14 2018 — Mar 14 2019

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