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  1. Mahout
  2. MAHOUT-1621

k-fold cross-validation in MapReduce Random Forest example?

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    Details

    • Type: Question
    • Status: Closed
    • Priority: Major
    • Resolution: Not A Problem
    • Affects Version/s: None
    • Fix Version/s: 0.10.0
    • Component/s: Examples
    • Labels:
    • Environment:

      Ubuntu Linux 14.04

      Description

      My goal is to modify MapReduce Random Forest example by combining BuildForest.java and TestForest.java into a new class called RandomForest.java

      The main point is to input one data file which is going to be used in training and testing; with k-fold cross-validation.

      I have a big data with hight diminutional features and small amount of instances.

      Seems to be a frustrating dead-end. is this process achievable? Or is it against MapReduce nature?

      Thanks..

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            • Assignee:
              Unassigned
              Reporter:
              qefwat Tawfiq Hasanin
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