GitHub user sachingoel0101 opened a pull request:
https://github.com/apache/flink/pull/710
Decision tree [Flink-1727]
This implements a part of the Decision Tree Algorithm. As of now, only
continuous valued fields are implemented. Also, Gini index based splitting
only. Entropy to be added later.
Also adds an Online Histogram based on Ben-Haim and Yom-Tov's paper
[http://www.jmlr.org/papers/volume11/ben-haim10a/ben-haim10a.pdf]
Tested on the Iris data set.
[https://archive.ics.uci.edu/ml/machine-learning-databases/iris/]
Achieving an accuracy of 96.7% based on a 80:20 split of the training data.
[Included in the testing suite as DecisionTreeSuite]
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/sachingoel0101/flink decisionTree
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/flink/pull/710.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #710
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commit 414af08d93292a407e535a555375465728d83984
Author: Sachin Goel <[email protected]>
Date: 2015-05-21T16:53:50Z
Decision tree implemented. For continuous data. Only Gini. Tested on Iris.
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